Get Started with Azure Machine Learning

Learn how to build and train machine learning models faster, and easily deploy to the cloud or the edge with Azure Machine Learning service. Using the latest open source technologies such as TensorFlow, PyTorch and Jupyter Notebooks, Chris Lauren shows you how to experiment locally and then quickly scale up or out with large GPU-enabled clusters in the cloud. Even if you have limited experience with data science, you can learn how to increase your productivity with automated machine learning and hyper-parameter tuning. Get started with Azure Machine Learning today for free using the link below...

Learn how to build and train machine learning models faster, and easily deploy to the cloud or the edge with Azure Machine Learning service. Using the latest open source technologies such as TensorFlow, PyTorch and Jupyter Notebooks, Chris Lauren shows you how to experiment locally and then quickly scale up or out with large GPU-enabled clusters in the cloud. Even if you have limited experience with data science, you can learn how to increase your productivity with automated machine learning and hyper-parameter tuning. Get started with Azure Machine Learning today for free using the link below...

A-Z Machine Learning using Azure Machine Learning (AzureML)

http://learnstartup.net/p/HyzN4sPZf

Learn Azure Machine Learning from scratch

http://learnstartup.net/p/V2uAy3OYt

Azure Machine Learning using Cognitive Services

http://learnstartup.net/p/Wlm416ifL

Machine Learning A-Z™: Hands-On Python & R In Data Science

http://learnstartup.net/p/SJw1YoTMg

Python for Data Science and Machine Learning Bootcamp

http://learnstartup.net/p/BJzWmGFGg

Machine Learning, Data Science and Deep Learning with Python

http://learnstartup.net/p/BkS5nEmZg

Originally published: https://www.youtube.com/watch?v=GBDSB...

Machine Learning Full Course - Learn Machine Learning

Machine Learning Full Course - Learn Machine Learning

This complete Machine Learning full course video covers all the topics that you need to know to become a master in the field of Machine Learning.

Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial

It covers all the basics of Machine Learning (01:46), the different types of Machine Learning (18:32), and the various applications of Machine Learning used in different industries (04:54:48).This video will help you learn different Machine Learning algorithms in Python. Linear Regression, Logistic Regression (23:38), K Means Clustering (01:26:20), Decision Tree (02:15:15), and Support Vector Machines (03:48:31) are some of the important algorithms you will understand with a hands-on demo. Finally, you will see the essential skills required to become a Machine Learning Engineer (04:59:46) and come across a few important Machine Learning interview questions (05:09:03). Now, let's get started with Machine Learning.

Below topics are explained in this Machine Learning course for beginners:

  1. Basics of Machine Learning - 01:46

  2. Why Machine Learning - 09:18

  3. What is Machine Learning - 13:25

  4. Types of Machine Learning - 18:32

  5. Supervised Learning - 18:44

  6. Reinforcement Learning - 21:06

  7. Supervised VS Unsupervised - 22:26

  8. Linear Regression - 23:38

  9. Introduction to Machine Learning - 25:08

  10. Application of Linear Regression - 26:40

  11. Understanding Linear Regression - 27:19

  12. Regression Equation - 28:00

  13. Multiple Linear Regression - 35:57

  14. Logistic Regression - 55:45

  15. What is Logistic Regression - 56:04

  16. What is Linear Regression - 59:35

  17. Comparing Linear & Logistic Regression - 01:05:28

  18. What is K-Means Clustering - 01:26:20

  19. How does K-Means Clustering work - 01:38:00

  20. What is Decision Tree - 02:15:15

  21. How does Decision Tree work - 02:25:15 

  22. Random Forest Tutorial - 02:39:56

  23. Why Random Forest - 02:41:52

  24. What is Random Forest - 02:43:21

  25. How does Decision Tree work- 02:52:02

  26. K-Nearest Neighbors Algorithm Tutorial - 03:22:02

  27. Why KNN - 03:24:11

  28. What is KNN - 03:24:24

  29. How do we choose 'K' - 03:25:38

  30. When do we use KNN - 03:27:37

  31. Applications of Support Vector Machine - 03:48:31

  32. Why Support Vector Machine - 03:48:55

  33. What Support Vector Machine - 03:50:34

  34. Advantages of Support Vector Machine - 03:54:54

  35. What is Naive Bayes - 04:13:06

  36. Where is Naive Bayes used - 04:17:45

  37. Top 10 Application of Machine Learning - 04:54:48

  38. How to become a Machine Learning Engineer - 04:59:46

  39. Machine Learning Interview Questions - 05:09:03

Deep Learning in Microsoft Azure

Deep Learning in Microsoft Azure

What is Microsoft’s approach to Deep Learning, and how does it differ from Open Source alternatives? In this session, we will look at Deep Learning, and how it can be implemented in Microsoft and Azure technologies with the Cognitive Toolkit, Tensorflow in Azure and CaffeOnSpark on AzureHDInsight. Join this session in order to understand deep learning better, and how we can use it to provide business and technical benefits in our organizations

What is Microsoft’s approach to Deep Learning, and how does it differ from Open Source alternatives? In this session, we will look at Deep Learning, and how it can be implemented in Microsoft and Azure technologies with the Cognitive Toolkit, Tensorflow in Azure and CaffeOnSpark on AzureHDInsight. Join this session in order to understand deep learning better, and how we can use it to provide business and technical benefits in our organizations

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Further reading about Deep Learning

Deep Learning A-Z™: Hands-On Artificial Neural Networks

Deep Learning Using TensorFlow

How to get started with Python for Deep Learning and Data Science

Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data

Deep Learning With TensorFlow 2.0