Machine Learning
Definition
What is machine learning
Traditional programming and machine learning
Why machine learning is important
Generalization
Algorithms of machine learning
Other learning techniques
Examples of machine learning
Applications of machine learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves
Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
The majority of human labor in production would be replaced by process automation. Devices must be intellectual to equal human skills, and Machine Learning is at the core of AI. Data processing and analysis are being transformed through machine learning. Traditional mathematical approaches have been substituted by increasingly precise automatic collections of standard methods.
Therefore, ML plays a crucial role in becoming a Data Scientist, Data Analyst, AI Expert.
Here are some questions to help you crack the interview in product-based companies.
Artificial Intelligence (AI) Interview Questions and Answers | EdurekaEdureka!
(** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-progra... **)
This PPT on Artificial Intelligence Interview Questions covers all the important concepts involved in the field of AI. This PPT is ideal for both beginners as well as professionals who want to learn or brush up their knowledge on AI concepts. Below are the topics covered in this tutorial:
1. Artificial Intelligence Basic Level Interview Question
2. Artificial Intelligence Intermediate Level Interview Question
3. Artificial Intelligence Scenario based Interview Question
Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4
Follow us to never miss an update in the future.
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Machine Learning
Definition
What is machine learning
Traditional programming and machine learning
Why machine learning is important
Generalization
Algorithms of machine learning
Other learning techniques
Examples of machine learning
Applications of machine learning
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves
Artificial Intelligence in e-commerce sector. This ppt explain that how can artificial intelligence helps in the growth of E-commerce industry. It includes pros and cons also.
The majority of human labor in production would be replaced by process automation. Devices must be intellectual to equal human skills, and Machine Learning is at the core of AI. Data processing and analysis are being transformed through machine learning. Traditional mathematical approaches have been substituted by increasingly precise automatic collections of standard methods.
Therefore, ML plays a crucial role in becoming a Data Scientist, Data Analyst, AI Expert.
Here are some questions to help you crack the interview in product-based companies.
Artificial Intelligence (AI) Interview Questions and Answers | EdurekaEdureka!
(** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-progra... **)
This PPT on Artificial Intelligence Interview Questions covers all the important concepts involved in the field of AI. This PPT is ideal for both beginners as well as professionals who want to learn or brush up their knowledge on AI concepts. Below are the topics covered in this tutorial:
1. Artificial Intelligence Basic Level Interview Question
2. Artificial Intelligence Intermediate Level Interview Question
3. Artificial Intelligence Scenario based Interview Question
Check out the entire Machine Learning Playlist: https://bit.ly/2NG9tK4
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
It is a slide on artificial intilligence.You have to describe these point. This slide can use also student of CSE,EEE and othe engennering subjects.This presentation is a group presentation if anyone want to make it individually then he or she has to reduce the number of slides.By using this silde on can be talk at least 10 minute at presentation time
In this presentation we present ten misconceptions that we have determined over the past ten years, as myths about Computer Science studies and profession
Machine Learning is the scientific practice of teaching computers to mimic human intelligence and actions. These computers also have to improve their learning in an autonomous manner. It is done by learning from observations and real-world interactions. Sets of data are studied by the machines to derive meaningful conclusions.
Artificial Intelligence vs Machine Learning.pptxChetnaGoyal16
Artificial Intelligence (AI) and Machine Learning (ML) are two terms that often come up when discussing the future of technology.
Learning Artificial Intelligence can be highly beneficial because there is increasing demand for artificial intelligence professionals so taking an artificial intelligence course in Delhi will help you to gain a new skill.
Are you Looking for the Best Institute for Machine Learning Course in Noida? APTRON offers Machine Learning training courses with live projects by expert trainers in Noida. Our Machine Learning training program is specially designed for Under-Graduates (UG), Graduates, working professionals and also for Freelancers. We provide end to end learning on Machine Learning Course in Noida for creating a winning career for every profile.
It is a slide on artificial intilligence.You have to describe these point. This slide can use also student of CSE,EEE and othe engennering subjects.This presentation is a group presentation if anyone want to make it individually then he or she has to reduce the number of slides.By using this silde on can be talk at least 10 minute at presentation time
In this presentation we present ten misconceptions that we have determined over the past ten years, as myths about Computer Science studies and profession
Machine Learning is the scientific practice of teaching computers to mimic human intelligence and actions. These computers also have to improve their learning in an autonomous manner. It is done by learning from observations and real-world interactions. Sets of data are studied by the machines to derive meaningful conclusions.
Artificial Intelligence vs Machine Learning.pptxChetnaGoyal16
Artificial Intelligence (AI) and Machine Learning (ML) are two terms that often come up when discussing the future of technology.
Learning Artificial Intelligence can be highly beneficial because there is increasing demand for artificial intelligence professionals so taking an artificial intelligence course in Delhi will help you to gain a new skill.
Are you Looking for the Best Institute for Machine Learning Course in Noida? APTRON offers Machine Learning training courses with live projects by expert trainers in Noida. Our Machine Learning training program is specially designed for Under-Graduates (UG), Graduates, working professionals and also for Freelancers. We provide end to end learning on Machine Learning Course in Noida for creating a winning career for every profile.
Machine Learning. What is machine learning. Normal computer vs ML. Types of Machine Learning. Some ML Object detection methods. Faster CNN, RCNN, YOLO, SSD. Real Life ML Applications. Best Programming Languages for ML. Difference Between Machine Learning And Artificial Intelligence. Advantages of Machine Learning. Disadvantages of Machine Learning
Index.....................
History of Machine Learning.
What is Machine Learning.
Why ML.
Learning System Model.
Training and Testing.
Performance.
Algorithms.
Machine Learning Structure.
Application.
Conclusion.
----------------------------------------------
THANK YOU
Machine Learning The Powerhouse of AI Explained.pdfCIO Look Magazine
Artificial Intelligence (AI) and Machine Learning (ML) are two terms that have revolutionized the technology landscape, becoming integral in various sectors.
This presentation targets people with a beginner background of Artificial Intelligence and Machine Learning, so anyone interested in understanding the working of the machine learning model and how to implement them in general is welcome to join us.
Difference Between Machine Learning and Artificial Intelligence NayaMishra1
This presentation will help you understand the key differences between Machine Learning (ML) and Artificial Intelligence (AI), highlighting their respective definitions, aim, focused areas, using data types, applications, and common uses. It provides a visual summary of the unique features and uses cases of each technology.
The Ultimate Guide to Machine Learning (ML)RR IT Zone
Machine learning is a broad term that refers to a variety of techniques that computers learn to do. These include speech recognition, natural language processing, and computer vision. But it’s also the concept behind things like Google Search, and Facebook’s Like button. With machine learning, machines can learn to do things that only humans can do. For example, your smartphone can translate languages with a combination of artificial intelligence, big data, and the internet. It can identify faces in photos, recognize text, and analyze other information—all without human intervention. In addition, machine learning is used to train robots, predict customer behavior, and even build virtual reality environments.
AI, Machine Learning and Deep Learning - The OverviewSpotle.ai
The deck takes you into a fascinating journey of Artificial Intelligence, Machine Learning and Deep Learning, dissect how they are connected and in what way they differ. Supported by illustrative case studies, the deck is your ready reckoner on the fundamental concepts of AI, ML and DL.
Explore more videos, masterclasses with global experts, projects and quizzes on https://spotle.ai/learn
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
PHP Frameworks: I want to break free (IPC Berlin 2024)
Machine learning 101
1. Machine Learning
101
S. Cahyo Ardhi Iswara
RnD Assistant at i-smile Laboratory
linkedin.com/in/cahyoardhi/
The introduction of machine learning
Elvin Nur Furqon
Ex-RnD Assistant at SEA Laboratory
linkedin.com/in/elvinnurfurqon/
2. “Machine learning is
the study of
computer algorithm
that allow computer
program to
automatically
improve through
experience”
Tom M. Mitchell
4. AI vs ML vs DL?
Artificial Intelligence (AI) refers to the
simulation of human intelligence processes
by machines.
Machine learning (ML) is an application of AI
generating systems that can learn and
improve without being explicitly
programmed.
Deep Learning (DL) refers to ML that can
learn and find the feature from the data
Deep
Learning
Machine Learning
Artificial
Intelligence
5. ML in Industry 4.0
Main Field
1. Quality Control
2. Forecasting
3. Chatbot
4. Sentiment Analysis
7. Top to bottom approach
Learn
Programming
and machine
learning
framework
Practise on
various
dataset and
case
Create custom
function for
custom case
like weighted
loss function
Learn Math
behind
machine
learning
algorithm to
apply custom
function
8. Bottom to top approach
Learn math behind
machine learning
algorithm
Learn programming
and machine
learning framework
Practise on various
dataset and case
Build high level
system for end to
end process by
scratch