I hosted an Event as a Microsoft Learn Student ambassador on Azure Machine Learning Designer.
In these slides, A general overview on Machine Learning and Azure Machine Learning is provided
Learn to visually build, train, and deploy custom machine learning models without machine learning expertise. We will be using Model Builder and Auto ML for the Demo.
The document outlines the objectives and costs of the Microsoft Azure AZ-303 certification training course offered by Apponix Technologies. The course aims to train aspirants to become certified Azure cloud solutions architects by teaching them skills like Azure resource management, virtual machine deployment, data storage options, security management, and developing cognitive services solutions. The AZ-303 certification exam costs around $100-150. Successful students can expect average salaries of Rs. 6,09,553 per year for AWS cloud administrator roles due to growing demand. Apponix Technologies is headquartered in Bangalore, India.
Had a great time discussing Azure ML with the Denver R User Group meeting this evening. We covered ways to use R in Azure ML to clean, transform and process data and to build machine learning models. This is a great meetup if you have a chance to attend a future meeting!
Enroll for Azure Architect training today. Request Demo class. Our instructor has 10+ years of hands-on experience in implementing Azure cloud platforms in Mission Critical projects. Demo Classes run every week Sunday
The document describes a Microsoft Azure certification training course offered by Apponix that aims to train aspirants to become certified Azure Cloud Solutions Architects. The course objectives include understanding advanced Azure platform activities like managing resources and deploying VMs and networks, expertise in Azure Cognitive Services, learning data storage and security management, and designing hybrid cloud connectivity scenarios. The course also covers developing Azure Cognitive services solutions, using PaaS to create web apps, and Cloud Architect Technology solutions.
Microsoft certified azure administrator associate training courseHimanshuPise1
This document summarizes a Microsoft Certified Azure Administrator Associate training course. The objectives are to train aspirants to become certified Azure cloud solutions architects and learn advanced Azure platform management including virtual machines, networks, data storage, security management, and developing cognitive services solutions. Completing the course leads to careers as an Azure administrator with average salaries of Rs. 6,09,553 per year according to payscale.com. The course prepares students for high demand certification exams and jobs paying up to $129,000 annually. Apponix Technology, located in Bangalore, India, offers the training course.
Microsoft certified azure administrator associate training coursevasudhaaligeti
To train the aspirants to be a certified Azure Cloud Solutions Architect.
Understand and get to know with advanced activities in Azure platform that includes the management of resources, configuration and deployment of virtual machines and networks and so on.
Learn to visually build, train, and deploy custom machine learning models without machine learning expertise. We will be using Model Builder and Auto ML for the Demo.
The document outlines the objectives and costs of the Microsoft Azure AZ-303 certification training course offered by Apponix Technologies. The course aims to train aspirants to become certified Azure cloud solutions architects by teaching them skills like Azure resource management, virtual machine deployment, data storage options, security management, and developing cognitive services solutions. The AZ-303 certification exam costs around $100-150. Successful students can expect average salaries of Rs. 6,09,553 per year for AWS cloud administrator roles due to growing demand. Apponix Technologies is headquartered in Bangalore, India.
Had a great time discussing Azure ML with the Denver R User Group meeting this evening. We covered ways to use R in Azure ML to clean, transform and process data and to build machine learning models. This is a great meetup if you have a chance to attend a future meeting!
Enroll for Azure Architect training today. Request Demo class. Our instructor has 10+ years of hands-on experience in implementing Azure cloud platforms in Mission Critical projects. Demo Classes run every week Sunday
The document describes a Microsoft Azure certification training course offered by Apponix that aims to train aspirants to become certified Azure Cloud Solutions Architects. The course objectives include understanding advanced Azure platform activities like managing resources and deploying VMs and networks, expertise in Azure Cognitive Services, learning data storage and security management, and designing hybrid cloud connectivity scenarios. The course also covers developing Azure Cognitive services solutions, using PaaS to create web apps, and Cloud Architect Technology solutions.
Microsoft certified azure administrator associate training courseHimanshuPise1
This document summarizes a Microsoft Certified Azure Administrator Associate training course. The objectives are to train aspirants to become certified Azure cloud solutions architects and learn advanced Azure platform management including virtual machines, networks, data storage, security management, and developing cognitive services solutions. Completing the course leads to careers as an Azure administrator with average salaries of Rs. 6,09,553 per year according to payscale.com. The course prepares students for high demand certification exams and jobs paying up to $129,000 annually. Apponix Technology, located in Bangalore, India, offers the training course.
Microsoft certified azure administrator associate training coursevasudhaaligeti
To train the aspirants to be a certified Azure Cloud Solutions Architect.
Understand and get to know with advanced activities in Azure platform that includes the management of resources, configuration and deployment of virtual machines and networks and so on.
The document provides information about a web design course offered by Apponix Technologies in Hyderabad. The course objectives include understanding web development principles, tools, languages like HTML, PHP and MySQL. It also covers skills like Photoshop, content management systems and web scripting. Completing the course can lead to careers as web designers or developers with average annual salaries of 6.5-7 lakhs in India according to payscale.com. Apponix offers career-oriented training in Hyderabad to help students prepare for jobs in the field of web design and development.
Introduction to Machine learning and Deep LearningNishan Aryal
Overview of Machine Learning and Deep Learning. Brief introduction to different types of BI Reporting tools like Power BI, SSMS, Cortana, Azure ML, TenserFlow and other tools.
This document provides information about a Microsoft Azure certification training course offered by Apponix Technologies. The course teaches IT professionals how to provision and manage services in Microsoft Azure, including implementing infrastructure like virtual networks, virtual machines, containers, apps, and storage. Students will learn to plan and manage Azure Active Directory and configure integration with on-premises Active Directory. Apponix is a top-rated training center in Bangalore that offers hands-on labs and experienced instructors to help students pursue careers working with Microsoft Azure.
The document describes the objectives and details of the Microsoft AZ-303 certification training course. The course aims to train students to be certified Azure cloud solutions architects by teaching them advanced Azure platform skills like managing resources, deploying VMs and networks, using cognitive services, data storage, and hybrid cloud connectivity. It also covers developing cognitive services solutions, using PaaS for apps, and cloud architecture technology. Completing the AZ-303 exam leads to certification and qualifications for high paying roles as Azure skills are in high demand.
The document discusses an AWS training course offered in Bhubaneshwar, India. The course covers AWS fundamentals like EC2, S3, VPC, security and more. It aims to teach students how to design cloud solutions, debug EC2 instances, and understand security practices. Completing the course can lead to careers with starting salaries between 4-5 lakhs per year. Experienced AWS professionals earn upwards of 16 lakhs or more annually as architects, administrators or developers. The training is offered by Apponix Technologies based in Bangalore.
The document discusses various cloud computing platforms and services and their suitability for different needs. It addresses common concerns about infrastructure, security, scalability and provides examples of how platforms like Salesforce, Google App Engine, Heroku, Amazon EC2 and Rackspace address these issues and provide reliable, scalable and cost-effective hosting solutions without the need to manage infrastructure. The conclusion emphasizes doing research to find the right cloud solution based on individual needs and workloads.
For more details please follow:
https://medium.com/datadriveninvestor/a-powerful-tool-for-demand-planning-segmentation-a66bfa729360
https://towardsdatascience.com/effective-approaches-for-time-series-anomaly-detection-9485b40077f1
https://aditya-bhattacharya.net/2020/07/20/sales-and-demand-forecast-analysis/
By Aditya Bhattacharya
E4D js conference responsive web design - js-il.comEyal Vardi
This document contains information about an Israel JavaScript Conference. It discusses topics that will be covered at the conference, including introductions to responsive web design (RWD), the science behind RWD, design approaches, testing and debugging, and rules for implementing RWD. It provides details on some of the challenges of building a responsive government website on a short timeline and with limited resources. It also includes tips and techniques for developing responsive websites, such as using fluid grids, flexible images and fonts, media queries, and responsive JavaScript plugins. Testing responsive sites on different devices and browsers is emphasized.
Azure Certification Training Course | Administrator | Architect | developernishanishad2
Azure Certification Training Course Delivered by Industry Experts. 50 Hrs of Blended learning. 24/7 Technical support by Azure Cloud experts. Enroll now to become Azure Certified Solutions Architect
for more information visit:www.apponix.com
In this session will explain how to use Automated machine learning service.
Automated machine learning (Automated ML) picks an algorithm and hyperparameters for you and generates a model ready for deployment.
Workshop - Preparing for AI-100 Microsoft Certification Exam Designing and Im...Luis Beltran
These are the slides of the workshop that I presented at the Global AI Bootcamp Munich 2019 in which I discuss the important elements to consider in order to become an Azure AI Engineer Associate certified by Microsoft.
Automated machine learning (automated ML) automates feature engineering, algorithm and hyperparameter selection to find the best model for your data. The mission: Enable automated building of machine learning with the goal of accelerating, democratizing and scaling AI. This presentation covers some recent announcements of technologies related to Automated ML, and especially for Azure. The demonstrations focus on Python with Azure ML Service and Azure Databricks.
Accelerating Data Science and Machine Learning Workflow with Azure Machine Le...Aditya Bhattacharya
Accelerating Data Science and Machine Learning Workflow with Microsoft Azure Machine Learning
Microsoft User Group Hyderabad AIML Day 2020
https://aditya-bhattacharya.net/
https://www.eventbrite.com/e/microsoft-user-group-hyderabad-aiml-day-2020-tickets-123940376001
MUGH
The document discusses ML.NET, a machine learning framework for .NET. It provides an overview of machine learning concepts and types. It then describes ML.NET's capabilities like using existing .NET skills for custom models, supporting frameworks like TensorFlow, and automated machine learning tools like the ML.NET Model Builder visual studio extension and ML.NET CLI. These tools make it easy for developers to build, train, and deploy machine learning models without extensive ML experience.
This presentation covers an overview of Analytics and Machine learning. It also covers the Microsoft's contribution in Machine learning space. Azure ML Studio, a SaaS based portal to create, experiment and share Machine Learning Solutions to the external world.
Complete No code solution to Machine Learning using Azure ML Studio. The aim of this presentation is to discuss the capability of Azure ML Studio in enabling any novice to perform ML experiments.
Getting started with microsoft azure in 30 minsIlyas F ☁☁☁
This document provides an overview of resources for getting started with Microsoft Azure cloud computing within 30 minutes. It outlines an agenda for learning Azure including why it's important, identifying career paths, available learning resources, and certification paths. Recommended first steps include exploring official documentation, online courses, hands-on labs, and getting an Azure subscription. Certification preparation timelines are provided for several Azure exams, along with links to practice tests and recorded training content. The goal is to help users efficiently learn Azure and excel in their careers through certification.
Automated machine learning (automated ML) automates feature engineering, algorithm and hyperparameter selection to find the best model for your data. The mission: Enable automated building of machine learning with the goal of accelerating, democratizing and scaling AI.
This presentation covers some recent announcements of technologies related to Automated ML, and especially for Azure. The demonstrations focus on Python with Azure ML Service and Azure Databricks.
This presentation is the fourth of four related to ML.NET and Automated ML. The presentation will be recorded with video posted to this YouTube Channel: http://bit.ly/2ZybKwI
MLflow and Azure Machine Learning—The Power Couple for ML Lifecycle ManagementDatabricks
The ML Lifecycle management process is quickly becoming the bottleneck for a lot of ML projects. With MLflow’s newest release, and its enhanced integration with Azure Machine Learning, this process is now showing the right promise and capabilities on Azure. In this talk, we intend to take a tour of the integration details and how MLOps is now becoming a strength of the platform. We’ll talk about versioning, maintaining run history, production pipeline automation, deployment to cloud and edge, and CI/CD pipelines with MLOps as the backdrop.
Be prepared for an interactive conversation as we intend to seek a lot of feedback on the integration and capabilities being lit up.
The document provides information about a web design course offered by Apponix Technologies in Hyderabad. The course objectives include understanding web development principles, tools, languages like HTML, PHP and MySQL. It also covers skills like Photoshop, content management systems and web scripting. Completing the course can lead to careers as web designers or developers with average annual salaries of 6.5-7 lakhs in India according to payscale.com. Apponix offers career-oriented training in Hyderabad to help students prepare for jobs in the field of web design and development.
Introduction to Machine learning and Deep LearningNishan Aryal
Overview of Machine Learning and Deep Learning. Brief introduction to different types of BI Reporting tools like Power BI, SSMS, Cortana, Azure ML, TenserFlow and other tools.
This document provides information about a Microsoft Azure certification training course offered by Apponix Technologies. The course teaches IT professionals how to provision and manage services in Microsoft Azure, including implementing infrastructure like virtual networks, virtual machines, containers, apps, and storage. Students will learn to plan and manage Azure Active Directory and configure integration with on-premises Active Directory. Apponix is a top-rated training center in Bangalore that offers hands-on labs and experienced instructors to help students pursue careers working with Microsoft Azure.
The document describes the objectives and details of the Microsoft AZ-303 certification training course. The course aims to train students to be certified Azure cloud solutions architects by teaching them advanced Azure platform skills like managing resources, deploying VMs and networks, using cognitive services, data storage, and hybrid cloud connectivity. It also covers developing cognitive services solutions, using PaaS for apps, and cloud architecture technology. Completing the AZ-303 exam leads to certification and qualifications for high paying roles as Azure skills are in high demand.
The document discusses an AWS training course offered in Bhubaneshwar, India. The course covers AWS fundamentals like EC2, S3, VPC, security and more. It aims to teach students how to design cloud solutions, debug EC2 instances, and understand security practices. Completing the course can lead to careers with starting salaries between 4-5 lakhs per year. Experienced AWS professionals earn upwards of 16 lakhs or more annually as architects, administrators or developers. The training is offered by Apponix Technologies based in Bangalore.
The document discusses various cloud computing platforms and services and their suitability for different needs. It addresses common concerns about infrastructure, security, scalability and provides examples of how platforms like Salesforce, Google App Engine, Heroku, Amazon EC2 and Rackspace address these issues and provide reliable, scalable and cost-effective hosting solutions without the need to manage infrastructure. The conclusion emphasizes doing research to find the right cloud solution based on individual needs and workloads.
For more details please follow:
https://medium.com/datadriveninvestor/a-powerful-tool-for-demand-planning-segmentation-a66bfa729360
https://towardsdatascience.com/effective-approaches-for-time-series-anomaly-detection-9485b40077f1
https://aditya-bhattacharya.net/2020/07/20/sales-and-demand-forecast-analysis/
By Aditya Bhattacharya
E4D js conference responsive web design - js-il.comEyal Vardi
This document contains information about an Israel JavaScript Conference. It discusses topics that will be covered at the conference, including introductions to responsive web design (RWD), the science behind RWD, design approaches, testing and debugging, and rules for implementing RWD. It provides details on some of the challenges of building a responsive government website on a short timeline and with limited resources. It also includes tips and techniques for developing responsive websites, such as using fluid grids, flexible images and fonts, media queries, and responsive JavaScript plugins. Testing responsive sites on different devices and browsers is emphasized.
Azure Certification Training Course | Administrator | Architect | developernishanishad2
Azure Certification Training Course Delivered by Industry Experts. 50 Hrs of Blended learning. 24/7 Technical support by Azure Cloud experts. Enroll now to become Azure Certified Solutions Architect
for more information visit:www.apponix.com
In this session will explain how to use Automated machine learning service.
Automated machine learning (Automated ML) picks an algorithm and hyperparameters for you and generates a model ready for deployment.
Workshop - Preparing for AI-100 Microsoft Certification Exam Designing and Im...Luis Beltran
These are the slides of the workshop that I presented at the Global AI Bootcamp Munich 2019 in which I discuss the important elements to consider in order to become an Azure AI Engineer Associate certified by Microsoft.
Automated machine learning (automated ML) automates feature engineering, algorithm and hyperparameter selection to find the best model for your data. The mission: Enable automated building of machine learning with the goal of accelerating, democratizing and scaling AI. This presentation covers some recent announcements of technologies related to Automated ML, and especially for Azure. The demonstrations focus on Python with Azure ML Service and Azure Databricks.
Accelerating Data Science and Machine Learning Workflow with Azure Machine Le...Aditya Bhattacharya
Accelerating Data Science and Machine Learning Workflow with Microsoft Azure Machine Learning
Microsoft User Group Hyderabad AIML Day 2020
https://aditya-bhattacharya.net/
https://www.eventbrite.com/e/microsoft-user-group-hyderabad-aiml-day-2020-tickets-123940376001
MUGH
The document discusses ML.NET, a machine learning framework for .NET. It provides an overview of machine learning concepts and types. It then describes ML.NET's capabilities like using existing .NET skills for custom models, supporting frameworks like TensorFlow, and automated machine learning tools like the ML.NET Model Builder visual studio extension and ML.NET CLI. These tools make it easy for developers to build, train, and deploy machine learning models without extensive ML experience.
This presentation covers an overview of Analytics and Machine learning. It also covers the Microsoft's contribution in Machine learning space. Azure ML Studio, a SaaS based portal to create, experiment and share Machine Learning Solutions to the external world.
Complete No code solution to Machine Learning using Azure ML Studio. The aim of this presentation is to discuss the capability of Azure ML Studio in enabling any novice to perform ML experiments.
Getting started with microsoft azure in 30 minsIlyas F ☁☁☁
This document provides an overview of resources for getting started with Microsoft Azure cloud computing within 30 minutes. It outlines an agenda for learning Azure including why it's important, identifying career paths, available learning resources, and certification paths. Recommended first steps include exploring official documentation, online courses, hands-on labs, and getting an Azure subscription. Certification preparation timelines are provided for several Azure exams, along with links to practice tests and recorded training content. The goal is to help users efficiently learn Azure and excel in their careers through certification.
Automated machine learning (automated ML) automates feature engineering, algorithm and hyperparameter selection to find the best model for your data. The mission: Enable automated building of machine learning with the goal of accelerating, democratizing and scaling AI.
This presentation covers some recent announcements of technologies related to Automated ML, and especially for Azure. The demonstrations focus on Python with Azure ML Service and Azure Databricks.
This presentation is the fourth of four related to ML.NET and Automated ML. The presentation will be recorded with video posted to this YouTube Channel: http://bit.ly/2ZybKwI
MLflow and Azure Machine Learning—The Power Couple for ML Lifecycle ManagementDatabricks
The ML Lifecycle management process is quickly becoming the bottleneck for a lot of ML projects. With MLflow’s newest release, and its enhanced integration with Azure Machine Learning, this process is now showing the right promise and capabilities on Azure. In this talk, we intend to take a tour of the integration details and how MLOps is now becoming a strength of the platform. We’ll talk about versioning, maintaining run history, production pipeline automation, deployment to cloud and edge, and CI/CD pipelines with MLOps as the backdrop.
Be prepared for an interactive conversation as we intend to seek a lot of feedback on the integration and capabilities being lit up.
Integrating Azure Machine Learning and Predictive Analytics with SharePoint O...Bhakthi Liyanage
Windows Azure Machine Learning and Data Analytics platform offers a streamlined experience, from setting up with only a web browser to using drag-and-drop gestures and simple data-flow graphs to set up experiments. Azure Machine Learning Studio features a library of time-saving sample experiments, R and Python packages, and best-in-class algorithms from Microsoft businesses like Xbox and Bing. Learn how the Azure Machine Learning service in the cloud lets you easily build, deploy, and share advanced analytics solutions into your SharePoint platform. Attendees will also gain knowledge on special considerations that should be taken in to account when creating analytical models. The demo will walk you through creating an analytic model in Azure ML studio and consume the model within SharePoint online.
Azure Data Certifications and Training - Timothy McAlileyTimothy McAliley
The document discusses Microsoft Learn and provides information about online learning paths and certifications for various Microsoft Azure roles. It outlines learning paths for certifications including Azure Data Fundamentals, Azure AI Fundamentals, Azure Data Engineer Associate, Azure AI Engineer Associate, Azure Data Scientist Associate, and Azure Database Administrator Associate. It provides details on the courses, exams, and skills needed for each certification. It also discusses the benefits of the 30-day Cloud Skills Challenge for organizations and individuals.
Slides from my talk at Big Data Conference 2018 in Vilnius
Doing data science today is far more difficult than it will be in the next 5-10 years. Sharing, collaborating on data science workflows in painful, pushing models into production is challenging.
Let’s explore what Azure provides to ease Data Scientists’ pains. What tools and services can we choose based on a problem definition, skillset or infrastructure requirements?
In this talk, you will learn about Azure Machine Learning Studio, Azure Databricks, Data Science Virtual Machines and Cognitive Services, with all the perks and limitations.
The breath and depth of Azure products that fall under the AI and ML umbrella can be difficult to follow. In this presentation I’ll first define exactly what AI, ML, and deep learning is, and then go over the various Microsoft AI and ML products and their use cases.
This document discusses how to build machine learning models with zero lines of code using Microsoft's Azure Machine Learning service. It introduces domain-specific pretrained models, popular frameworks, productive services, and familiar data science tools available in Azure ML that can simplify and accelerate the model development process. It also demonstrates the visual interface and automated machine learning capabilities of Azure ML that allow users to build, test, and deploy models without writing code.
Unleashing the Power of Machine Learning Prototyping Using Azure AutoML and P...Luca Zavarella
This session will show how to quickly implement a Machine Learning model using Azure Automated ML and the Python SDK. In addition, the new toolkits developed by Microsoft that allow to easily evaluate both the performance of the prototyped model and to explain its behavior to executives and stakeholders will be shown during the demo.
(https://datasaturdays.com/events/datasaturday0001.html)
This document provides information about a Microsoft Showcase session on using Azure Machine Learning (ML) and Dynamics 365. The session agenda covers ML and AI concepts, how they apply to Dynamics 365, an introduction to Azure ML, and how ML can be used with Dynamics 365 today. It also discusses current ML options in Dynamics 365, such as product recommendations, knowledge article suggestions, and opportunity scoring. Resources for further learning are provided.
Azure Machine Learning provides tools for creating complete predictive analytics solutions in the cloud. It allows users to build, test, and deploy predictive models by dragging and dropping datasets and analysis modules onto an interactive canvas. Key benefits of Azure Machine Learning include its global datacenter infrastructure, support for multiple languages and currencies, ability to easily scale compute and storage capacity in the cloud, and tools for data integration and building models using advanced algorithms.
Microsoft Azure Training Your Pathway to Cloud Success.pptxMeenakshiBajaj9
Tired of the limitations of on-premise IT? Ready to embrace the scalability, agility, and cost-effectiveness of the cloud? Then Microsoft Azure Training is your key to unlocking a world of possibilities!
Big Data Adavnced Analytics on Microsoft AzureMark Tabladillo
This presentation provides a survey of the advanced analytics strengths of Microsoft Azure from an enterprise perspective (with these organizations being the bulk of big data users) based on the Team Data Science Process. The talk also covers the range of analytics and advanced analytics solutions available for developers using data science and artificial intelligence from Microsoft Azure.
Similar to How to Deploy a No Code Predictive Machine Learning Model as a Web Service with Azure machine Learning (20)
In our CSE471 course, System Analysis and Design, we presented our proposal to create an Employee Management system.
The Use Case Diagram, Activity Diagram, Sequence diagram, Data Flow Diagram, and Windows Navigation Diagram, all are shown here
The document proposes a project to screen and control breast and cervical cancer in Rajshahi District. The project aims to educate and motivate women aged 40-64 to undergo breast cancer screening via mammography and women aged 21-64 to undergo cervical cancer screening via visual inspection with acetic acid. It will establish temporary screening camps in 11 upazilas to conduct screening tests and refer positive cases for treatment. The 6-month project aims to screen 342 women and will be evaluated to assess its effectiveness and make improvements. An estimated budget of 15 lakh BDT is proposed to cover direct and indirect costs.
A project proposal to prevent and control Cardio-Vascular DiseaseNurFathihaTahiatSeeu
This document proposes a project to prevent and control hypertension, angina, myocardial infarction, and stroke in Gazipur District, Bangladesh. The project would conduct a baseline survey to assess the current prevalence of cardiovascular diseases and their risk factors. It would use a cross-sectional study design involving quantitative and qualitative data collection from over 1,000 men and women aged 30 and older. Data collection tools would include surveys, measurements, and focus group discussions. The project aims to improve cardiovascular health through prevention, detection, and treatment of risk factors. Findings would help inform effective intervention strategies to address the growing burden of non-communicable diseases in Bangladesh.
how to select the appropriate method for our study of interest NurFathihaTahiatSeeu
The document discusses using linear regression to analyze the relationship between the duration of studying before an exam (independent variable) and exam performance (dependent variable). It provides an overview of linear regression, noting it describes how a dependent variable relates to one or more independent variables. It also discusses key assumptions that must be met for linear regression, such as having continuous and linearly related variables, independence of observations, and normally distributed residuals. Checking tools like histograms and normal P-P plots are recommended to validate meeting the assumptions.
This document discusses data analysis and its importance. It describes data analysis as the process of collecting, modeling, and analyzing data to extract insights that support decision-making. It then outlines several categories and essential types of data analysis, including descriptive analysis, exploratory analysis, diagnostic analysis, predictive analysis, prescriptive analysis, cluster analysis, regression analysis, neural networks, factor analysis, data mining, and text analysis. Finally, it provides steps for how to perform data analysis, such as collaborating on needs, establishing questions, cleaning data, setting KPIs, answering questions, and visualizing and interpreting results.
Role of Personal Protective Measures in Prevention of COVID-19 Spread Among P...NurFathihaTahiatSeeu
1) The study examined the role of personal protective measures in preventing the spread of COVID-19 among physicians in Bangladesh.
2) It found that physicians who were unaware of contact with COVID-19 patients or the status of patients during aerosol-generating procedures had higher odds of testing positive.
3) Wearing an N95 mask during aerosol-generating procedures and face shields/goggles during usual patient care were associated with lower odds of infection, but most associations were not statistically significant due to the small sample size.
Title: Severity of Food adulteration in Bangladesh
Here we described the definition, types, research findings, and examples of Food adulteration in Bangladesh
Healthcare system Challenges in Bangladesh and proposed solutionNurFathihaTahiatSeeu
Here, we proposed one holistic Mobile application which will structure the future of the healthcare system in Bangladesh from the medical students to rural needy people
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
National Security Agency - NSA mobile device best practices
How to Deploy a No Code Predictive Machine Learning Model as a Web Service with Azure machine Learning
1.
2. Deploy a No-code Predictive ML model as a web service with Azure
Machine Learning
MD Shahriyar AL Mustakim
Mitul
Nur Fathiha Tahiat
Seeum
Beta Microsoft Learn Student
Ambassador
Alpha Microsoft Learn Student
Ambassador
4. B.Sc in Computer Science and Engineering at
BRAC University, Bangladesh
AWS Community Builder
Beta Microsoft Learn Student Ambassador
@ShahriyarMitul linkedin.com/in/md-shahriyar-al-mustakim-mitul-
5. B.Sc in Computer Science and Engineering at
BRAC University, Bangladesh
Alpha Microsoft Learn Student Ambassador
Reseach Assistant at OHCRA
Blogger at Porjotonlipi
@NurTahiat linkedin.com/in/nur-fathiha-tahiat-seeum-230b501a5/ @Nur-Seeum
7. Azure Machine
Leaning
Azure Machine Learning is a cloud service that you can use to train and
manage machine learning models.
It can be used for any kind of machine learning, from classical ml to deep
learning, supervised, and unsupervised learning.
Whether you prefer to write Python or R code with the SDK or work with no-code/low-code options in the studio.
Start training on your local machine and then scale out to the cloud.
8. AI For Any skill
level
Designer Automated ML Notebooks
9. Let's Create our first
Classification Model With AML!
https://portal.azure.com/
10. Tips for managing costs:
• Configure your training clusters for autoscaling: Number of nodes to 0
• Set quotas on your subscription and workspaces: Configure cost limits
• Set termination policies on your training run: Time limit, minimum accuracy
required, etc.
• Use low-priority virtual machines (VM)
• Use an Azure Reserved VM Instance
Extra:
• Don’t forget to stop computing resources
• Delete workspace resources, but not necessarily the workspace
11. Resources:
• Create no-code predictive models with Azure Machine Learning - Learn | Microsoft Docs
• Create a classification model with Azure Machine Learning designer - Learn | Microsoft Docs
• Azure Machine Learning documentation | Microsoft Docs
• How to select a machine learning algorithm - Azure Machine Learning | Microsoft Docs
• Algorithm & module reference - Azure Machine Learning | Microsoft Docs
• Plan and manage costs - Azure Machine Learning | Microsoft Docs
• Machine Learning Algorithm Cheat Sheet - designer - Azure Machine Learning | Microsoft Docs
• Zero Code AI with Drag-n-Drop Machine Learning – YouTube
• Azure Machine Learning Designer — Taygan
• The Best Way to Start With Azure Machine Learning (soshnikov.com)
• CloudAdvocacy/AzureMLStarter: This is some tutorial to get you started with Azure ML Service
(github.com)