This document provides an overview of machine learning and artificial intelligence on Azure. It discusses the importance of AI and ML technologies and how organizations that leverage these technologies can gain a competitive advantage. It also describes different types of machine learning algorithms such as supervised learning, unsupervised learning, and deep learning. Finally, it discusses Microsoft's AI infrastructure and services for building, training, deploying, and consuming machine learning models on Azure.
https://www.learntek.org/machine-learning-using-spark/
https://www.learntek.org
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
This short presentation provides context for the field of AI today and makes some predictions about the advancements of the field in the enterprise in the next 5-10 years
Machine learning with an effective tools of data visualization for big dataKannanRamasamy25
Arthur Samuel (1959) :
"Field of study that gives computers the ability to learn without being explicitly programmed“
Tom Mitchell (1998) :
“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E”.
There are several ways to implement machine learning algorithms
Automating automation
Getting computers to program themselves
Writing software is the bottleneck
Let the data do the work instead!
Introduction to Machine Learning and Artificial Intelligence Technologies. Discover the basics surrounding this tech, including business uses and evolution over time.
https://www.learntek.org/machine-learning-using-spark/
https://www.learntek.org
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses.
This short presentation provides context for the field of AI today and makes some predictions about the advancements of the field in the enterprise in the next 5-10 years
Machine learning with an effective tools of data visualization for big dataKannanRamasamy25
Arthur Samuel (1959) :
"Field of study that gives computers the ability to learn without being explicitly programmed“
Tom Mitchell (1998) :
“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E”.
There are several ways to implement machine learning algorithms
Automating automation
Getting computers to program themselves
Writing software is the bottleneck
Let the data do the work instead!
Introduction to Machine Learning and Artificial Intelligence Technologies. Discover the basics surrounding this tech, including business uses and evolution over time.
AI Cybersecurity: Pros & Cons. AI is reshaping cybersecurityTasnim Alasali
Discover how AI is reshaping cybersecurity. This presentation delves into AI's role in enhancing threat detection, the balance of innovation and risk, and the strategies shaping the future of digital defense.
الموعد الإثنين 03 يناير 2022
143
مبادرة
#تواصل_تطوير
المحاضرة ال 143 من المبادرة
المهندس / محمد الرافعي طرباي
نقيب المبرمجين بالدقهلية
بعنوان
"IT INDUSTRY"
How To Getting Into IT With Zero Experience
وذلك يوم الإثنين 03 يناير2022
السابعة مساء توقيت القاهرة
الثامنة مساء توقيت مكة المكرمة
و الحضور من تطبيق زووم
https://us02web.zoom.us/meeting/register/tZUpf-GsrD4jH9N9AxO39J013c1D4bqJNTcu
علما ان هناك بث مباشر للمحاضرة على القنوات الخاصة بجمعية المهندسين المصريين
ونأمل أن نوفق في تقديم ما ينفع المهندس ومهمة الهندسة في عالمنا العربي
والله الموفق
للتواصل مع إدارة المبادرة عبر قناة التليجرام
https://t.me/EEAKSA
ومتابعة المبادرة والبث المباشر عبر نوافذنا المختلفة
رابط اللينكدان والمكتبة الالكترونية
https://www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط قناة التويتر
https://twitter.com/eeaksa
رابط قناة الفيسبوك
https://www.facebook.com/EEAKSA
رابط قناة اليوتيوب
https://www.youtube.com/user/EEAchannal
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
ملحوظة : توجد شهادات حضور مجانية لمن يسجل فى رابط التقيم اخر المحاضرة
[Srijan Wednesday Webinars] Artificial Intelligence & the Future of BusinessSrijan Technologies
“AI is the new electricity” – Andrew Ng, former Chief Data Scientist, Baidu
Artificial Intelligence is the new frontier for human evolution. It will upend industries, cause fundamental shifts in processes and jobs, and create unprecedented innovation.The question one wishes to answer is: how and why it impacts industry, and how can it be leveraged by businesses.
This session will introduce AI and machine learning: the process of creating AI, and go on to discuss the key applications of these emerging technologies. We will also dive into a preliminary review of ML algorithms and how they work.
Key Takeaways:
- Define AI and ML, and the philosophy behind these new technologies
- The impact of AI on jobs, communities, business, and industry
- The use cases of AI in different industries like hi-tech, manufacturing, healthcare, publishing and media, education, transportation etc.
-Introduction to machine learning algorithms like classification, regression, neural networks etc.
Check our webinars series and sign up for future webinar notifications at: www.srijan.net/webinar/past-webinars
High time to add machine learning to your information security stackMinhaz A V
Machine learning might never be the silver bullet for cybersecurity compared to areas where it is thriving. There will always be a person who tries to find issues in our systems and bypass them. They may even use it to assist the attacks.
But adding it to our general information security stack can surely help us be more prepared while defending. Different categories like regression, classification, clustering, recommendations & reinforcement learning can be leveraged to build efficient & faster monitoring, threat response, network traffic analysis and more.
Along with introduction to different aspects and how it can be leveraged - I'd like to present a case study on how ML/AI can be used in distinguishing between benign and Malicious traffic data by means of anomaly detection techniques with 100% True Positive Rate with live demo.
Security in the age of Artificial IntelligenceFaction XYZ
Keynote Presentation for ISACA Belgium 2017 on how artificial intelligence is influencing the cyber security industry, and what current and future developments there are
Azure Machine Learning 101 slides which I used on Advanced Technology Days conference, held in Zagreb (Croatia) on November 12th and 13th.
Slides are divided into 2 parts. First part is introducing machine learning in a simple way with some basic definitions and basic examples. Second part is introducing Azure Machine Learning service including main features and workflow.
Slides are used only 30% of the presentation time so there is no much detailed information on them regarding machine learning. Rest of the time I did live demos on Azure Machine Learning portal which is probably more interesting to the audience.
Presentation can be useful as a concept for similar topics or to combine it some other resource. If you need access to the demos just send me a message so I will grant you access to Azure ML workspace where are all experiments used in this session.
Machine learning and ai in a brave new cloud worldUlf Mattsson
Machine learning platforms are one of the fastest growing services of the public cloud. ML, an approach and set of technologies that use Artificial Intelligence (AI) concepts, is directly related to pattern recognition and computational learning. Early adopters of AI have now rolled out cloud-based services that are bringing AI to the masses.
How are AI, deep learning, machine learning, big data, and cloud related? Can machine learning algorithms enable the use of an individual’s comprehensive biological information to predict or diagnose diseases, and to find or develop the best therapy for that individual? How is Quantum Computing in the Cloud related to the use of AI and Cybersecurity?
Join this webinar to learn more about:
- Machine Learning, Data Discovery and Cloud
- Cloud-Based ML Applications and ML services from AWS and Google Cloud
- How to Automate Machine Learning
An Elementary Introduction to Artificial Intelligence, Data Science and Machi...Dozie Agbo
This presentation is a friendly introduction to Artificial Intelligence, Data Science and Machine Learning. It touches on the beginnings of AI, the steps involved in Data Science, the roles involving operations on data, and the buzz around "Technology Singularity".
It ends by looking at tools and system requirements for people who might want to start a career in AI.
Have fun exploring Artificial Intelligence!
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
More Related Content
Similar to Global Azure BootCamp: Artificial Intelligence & Machine Learning on Azure
AI Cybersecurity: Pros & Cons. AI is reshaping cybersecurityTasnim Alasali
Discover how AI is reshaping cybersecurity. This presentation delves into AI's role in enhancing threat detection, the balance of innovation and risk, and the strategies shaping the future of digital defense.
الموعد الإثنين 03 يناير 2022
143
مبادرة
#تواصل_تطوير
المحاضرة ال 143 من المبادرة
المهندس / محمد الرافعي طرباي
نقيب المبرمجين بالدقهلية
بعنوان
"IT INDUSTRY"
How To Getting Into IT With Zero Experience
وذلك يوم الإثنين 03 يناير2022
السابعة مساء توقيت القاهرة
الثامنة مساء توقيت مكة المكرمة
و الحضور من تطبيق زووم
https://us02web.zoom.us/meeting/register/tZUpf-GsrD4jH9N9AxO39J013c1D4bqJNTcu
علما ان هناك بث مباشر للمحاضرة على القنوات الخاصة بجمعية المهندسين المصريين
ونأمل أن نوفق في تقديم ما ينفع المهندس ومهمة الهندسة في عالمنا العربي
والله الموفق
للتواصل مع إدارة المبادرة عبر قناة التليجرام
https://t.me/EEAKSA
ومتابعة المبادرة والبث المباشر عبر نوافذنا المختلفة
رابط اللينكدان والمكتبة الالكترونية
https://www.linkedin.com/company/eeaksa-egyptian-engineers-association/
رابط قناة التويتر
https://twitter.com/eeaksa
رابط قناة الفيسبوك
https://www.facebook.com/EEAKSA
رابط قناة اليوتيوب
https://www.youtube.com/user/EEAchannal
رابط التسجيل العام للمحاضرات
https://forms.gle/vVmw7L187tiATRPw9
ملحوظة : توجد شهادات حضور مجانية لمن يسجل فى رابط التقيم اخر المحاضرة
[Srijan Wednesday Webinars] Artificial Intelligence & the Future of BusinessSrijan Technologies
“AI is the new electricity” – Andrew Ng, former Chief Data Scientist, Baidu
Artificial Intelligence is the new frontier for human evolution. It will upend industries, cause fundamental shifts in processes and jobs, and create unprecedented innovation.The question one wishes to answer is: how and why it impacts industry, and how can it be leveraged by businesses.
This session will introduce AI and machine learning: the process of creating AI, and go on to discuss the key applications of these emerging technologies. We will also dive into a preliminary review of ML algorithms and how they work.
Key Takeaways:
- Define AI and ML, and the philosophy behind these new technologies
- The impact of AI on jobs, communities, business, and industry
- The use cases of AI in different industries like hi-tech, manufacturing, healthcare, publishing and media, education, transportation etc.
-Introduction to machine learning algorithms like classification, regression, neural networks etc.
Check our webinars series and sign up for future webinar notifications at: www.srijan.net/webinar/past-webinars
High time to add machine learning to your information security stackMinhaz A V
Machine learning might never be the silver bullet for cybersecurity compared to areas where it is thriving. There will always be a person who tries to find issues in our systems and bypass them. They may even use it to assist the attacks.
But adding it to our general information security stack can surely help us be more prepared while defending. Different categories like regression, classification, clustering, recommendations & reinforcement learning can be leveraged to build efficient & faster monitoring, threat response, network traffic analysis and more.
Along with introduction to different aspects and how it can be leveraged - I'd like to present a case study on how ML/AI can be used in distinguishing between benign and Malicious traffic data by means of anomaly detection techniques with 100% True Positive Rate with live demo.
Security in the age of Artificial IntelligenceFaction XYZ
Keynote Presentation for ISACA Belgium 2017 on how artificial intelligence is influencing the cyber security industry, and what current and future developments there are
Azure Machine Learning 101 slides which I used on Advanced Technology Days conference, held in Zagreb (Croatia) on November 12th and 13th.
Slides are divided into 2 parts. First part is introducing machine learning in a simple way with some basic definitions and basic examples. Second part is introducing Azure Machine Learning service including main features and workflow.
Slides are used only 30% of the presentation time so there is no much detailed information on them regarding machine learning. Rest of the time I did live demos on Azure Machine Learning portal which is probably more interesting to the audience.
Presentation can be useful as a concept for similar topics or to combine it some other resource. If you need access to the demos just send me a message so I will grant you access to Azure ML workspace where are all experiments used in this session.
Machine learning and ai in a brave new cloud worldUlf Mattsson
Machine learning platforms are one of the fastest growing services of the public cloud. ML, an approach and set of technologies that use Artificial Intelligence (AI) concepts, is directly related to pattern recognition and computational learning. Early adopters of AI have now rolled out cloud-based services that are bringing AI to the masses.
How are AI, deep learning, machine learning, big data, and cloud related? Can machine learning algorithms enable the use of an individual’s comprehensive biological information to predict or diagnose diseases, and to find or develop the best therapy for that individual? How is Quantum Computing in the Cloud related to the use of AI and Cybersecurity?
Join this webinar to learn more about:
- Machine Learning, Data Discovery and Cloud
- Cloud-Based ML Applications and ML services from AWS and Google Cloud
- How to Automate Machine Learning
An Elementary Introduction to Artificial Intelligence, Data Science and Machi...Dozie Agbo
This presentation is a friendly introduction to Artificial Intelligence, Data Science and Machine Learning. It touches on the beginnings of AI, the steps involved in Data Science, the roles involving operations on data, and the buzz around "Technology Singularity".
It ends by looking at tools and system requirements for people who might want to start a career in AI.
Have fun exploring Artificial Intelligence!
Similar to Global Azure BootCamp: Artificial Intelligence & Machine Learning on Azure (20)
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
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NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
10. The technology exists today.
Organizations that leverage these technologies
will be able to obtain or sustain a competitive
advantage.
Those that don't will be left behind.
11. Types of Machine Learning Algorithms
Algorithms
Supervised
Labeled Data
Classification
Categorical
Binary
2 categories
Multi-class
>2 categories
Regression
Numerical
Unsupervised
Unlabeled data
Clustering
Grouping
12.
13. Supervised Learning
• Using AI to determine an A -> B (input to response) mapping
• Have a machine “learn” these mappings
A B
Email Spam?
Image Object
Audio Text
Housing data Price
Ads, users Click?
Binary classification
Multiclass Classification
Multiclass classification
Regression
Binary classification
14.
15.
16. What is Deep Learning?
Input Layer
Hidden Layers
Output Layer
Data propagation direction
Error propagation direction
17. Types of deep learning architectures
• Recurrent Neural Network
• Long Short-Term Memory network
• Convolutional Neural Networks
• Recursive Neural Networks
• Deep Belief Networks
• Generative Adversarial Networks
18. When to use what?
Build your own or consume
pre-trained models?
Which Experience do you
want?
Deployment target
What engine(s) do you want
to use?
Microsoft ML & AI
products
Build your own Consume
Azure Machine Learning Cognitive services, bots
Code first Visual tooling
On-premise
ML Server
Cloud
AML Services (Preview)
Cloud
AML Studio
On-premise
Hadoop
SQL
Server
SQL
Server
Spark Hadoop Azure Batch DSVM Azure Container
Service
19. Workshop Build a Machine Learning Workflow and
deploy web service on AML Studio
22. Microsoft AI Infrastructure & Services
Best of Microsoft research
and open source
Comprehensive
ML and AI capabilities for
Data Scientists
Easy to consume
AI for developers
Hyperscale hardware innovation (scale, GPU, FPGA) – Azure Compute
Leading hardware, at scale,
on demand
MS AI Stack chart
*high level service are packaged
*raw infrastructure like GPU or DSVM (spin end series VM to run ML workloads)
*CNTK is DL library. Like tensorflow/caffe same family of tools
*AzureStudio
*APIs if you are not familiar with building from scratch
