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Coursera Udacity Machine Learning Scholarship Program for Microsoft Azure

Video Introducing this tutorial


Part 01-Module 01-Lesson 01_Welcome to Introduction to Machine Learning on Azure:
01. Welcome to Udacity
01. Welcome To Udacity V2-9QadFJRKrEA
02. How this program works
03. Join the Scholarship Community
04. Microsoft Azure PROMO (2)-hwtrw64xQmQ
04. Why Machine Learning
05. 0 00 11983 Udacity ML Course Lesson0 FINAL V3-C25mkY1R5Wc
05. Course Overview

Part 01-Module 01-Lesson 02_Introduction to Machine Learning:
01. 1 00 11983 Udacity ML Course Lesson1 FINAL V2-V__T6TEXobA
01. Lesson Overview
02. 1 01 11983 Udacity ML Course Lesson1 FINAL V2-567-mVblChI
02. What is Machine Learning
03. 1 03 11983 Udacity ML Course Lesson1 FINAL V2-IFqpMGZRaGc
03. Applications of Machine Learning
04. 1 04 11983 Udacity ML Course Lesson1 FINAL V2-cy6RinIoteM
04. Brief History of Machine Learning
05. 1 05 11983 Udacity ML Course Lesson1 FINAL V2-xX66AYbEJJY
05. The Data Science Process
06. 1 06 11983 Udacity ML Course Lesson1 FINAL V2-11Hcp1ts494
06. Common Types of Data
07. 1 07A 11983 Udacity ML Course Lesson1 FINAL V2-DBML5tG138I
07. 1 10A 11983 Udacity ML Course Lesson1 FINAL V2-BCl4VaChdPk
07. Tabular Data
08. 1 07B 11983 Udacity ML Course Lesson1 FINAL V2-NyrL6ein-pw
08. Scaling Data
09. 1 07C 11983 Udacity ML Course Lesson1 FINAL V2-n2uIykJkJ44
09. Encoding Categorical Data
10. 1 08 11983 Udacity ML Course Lesson1 FINAL V2-ZTID77K760Y
10. Image Data
11. 1 09 11983 Udacity ML Course Lesson1 FINAL V2-Y5C-fVOEj8g
11. Text Data
12. 1 10B 11983 Udacity ML Course Lesson1 FINAL V2--STuxIvMhHo
12. Two Perspectives on ML
13. 1 11 11983 Udacity ML Course Lesson1 FINAL V2-4uHZkcRJ_J8
13. The Computer Science Perspective
14. 1 12 11983 Udacity ML Course Lesson1 FINAL V2-mRjQmAKpwgs
14. The Statistical Perspective
15. 1 13 11983 Udacity ML Course Lesson1 FINAL V2-jj_06syZGEg
15. The Tools for Machine Learning
16. 1 14 11983 Udacity ML Course Lesson1 FINAL V2-M9zUzwhIto4
16. Libraries
17. 1 15 11983 Udacity ML Course Lesson1 FINAL V2-YGssK4vvQak
17. 1 16 11983 Udacity ML Course Lesson1 FINAL V2-e2-yhSuxVMQ
17. Cloud Services
18. 1 17 11983 Udacity ML Course Lesson1 FINAL V2-rnKuhPp-9AU
18. Models vs. Algorithms
19. Prelaunch Lab
20. 1 18 11983 Udacity ML Course Lesson1 FINAL V2-RsQEl8zay3Y
20. Linear Regression
21. Linear Regression Check Your Understanding
22. Lab Instructions
23. Lab Train a Linear Regression Model
24. 1 19 11983 Udacity ML Course Lesson1 FINAL V2--UgmbgLY5fc
24. Walkthrough Train a Linear Regression Model
25. 1 20 11983 Udacity ML Course Lesson1 FINAL V2-kbdMEfNf2eQ
25. Learning Functions
26. 1 21 11983 Udacity ML Course Lesson1 FINAL V2-t9tQF3nn54M
26. Parametric vs. Non-parametric
27. 1 22 11983 Udacity ML Course Lesson1 FINAL V2-BYFfpR0thCA
27. Classical ML vs. Deep Learning
28. 1 23 11983 Udacity ML Course Lesson1 FINAL V2-2_JMdUc0D0c
28. Approaches to Machine Learning
29. 1 24A 11983 Udacity ML Course Lesson1 FINAL V2-UC8i4--WQoA
29. 1 24B 11983 Udacity ML Course Lesson1 FINAL V2-X1DotdITKyE
29. 1 24C 11983 Udacity ML Course Lesson1 FINAL V2-eAxyENSV7JE
29. The Trade-Offs
30. 1 25 11983 Udacity ML Course Lesson1 FINAL V2-Hoh74KrKh5k
30. Lesson Summary

Part 01-Module 01-Lesson 03_Model Training:
01. 2 00 11983 Udacity ML Course FINAL V2-Z6qaUHwrklk
01. Lesson Overview
02. Prelaunch Lab
03. Lab Instructions
04. 2 01 11983 Udacity ML Course FINAL V2-2UF0Lo3NDt0
04. Data Import and Transformation
05. Lab Import, Transform, and Export Data
06. 2 02 LAB 11983 Udacity ML Course FINAL V2-LllJB5LQtb0
06. Walkthrough Import, Transform, and Export Data
07. 2 03 11983 Udacity ML Course FINAL V2-b0J1SHbi9pE
07. 2 04 A 11983 Udacity ML Course FINAL V2-uUqlBoG0bPc
07. 2 04 B 11983 Udacity ML Course FINAL V2-S98RHa5Eioc
07. Managing Data
08. Prelaunch Lab
09. 2 05 A 11983 Udacity ML Course FINAL V2-o5CIakh9Xtg
09. 2 05 B 11983 Udacity ML Course FINAL V2-l8OetSHc754
09. More About Datasets
10. Lab Create and Version a Dataset
11. 2 06 LAB 11983 Udacity ML Course FINAL V2-aIvMainDa1E
11. Walkthrough Create and Version a Dataset
12. 2 07 11983 Udacity ML Course FINAL V3-aO2rp406n8A
12. Introducing Features
13. 2 08 A 11983 Udacity ML Course FINAL V2-j-b4K7KjEKA
13. 2 08 B 11983 Udacity ML Course FINAL V3-BTiJGJbMfbY
13. 2 09 11983 Udacity ML Course FINAL V2-ecd3jvTdlGw
13. Feature Engineering
14. Prelaunch Lab
15. 2 10 A 11983 Udacity ML Course FINAL V2-A_2GRAhJrAs
15. 2 10 B 11983 Udacity ML Course FINAL V2-5umJYhVUKcw
15. Feature Selection
16. Lab Engineer and Select Features
17. 2 11 A LAB 11983 Udacity ML Course FINAL V2-pIOkoTphyR8
17. 2 11 B LAB 11983 Udacity ML Course FINAL V2-KpO1Wa_TvT4
17. Walkthrough Engineer and Select Features
18. 2 12 11983 Udacity ML Course FINAL V2-QIAiteCikwI
18. 2 13 11983 Udacity ML Course FINAL V2 -lvs2_TL1sw8
18. Data Drift
19. 2 14 11983 Udacity ML Course FINAL V2-Ar9fKCgMT6A
19. Model Training Basics
20. 2 15 A 11983 Udacity ML Course FINAL V2-lBXm8TmGqDA
20. 2 15 B 11983 Udacity ML Course FINAL V2-D8Gw2Cbv2MY
20. Model Training in Azure Machine Learning
21. 2 16 11983 Udacity ML Course FINAL V2-FyvqRyMoWRA
21. Training Classifiers
22. 2 17 11983 Udacity ML Course FINAL V2-qpmlvrQWZ6U
22. Training Regressors
23. 2 18 11983 Udacity ML Course FINAL V2-c_8sEPf0Cg0
23. Evaluating Model Performance
24. Confusion Matrices
25. 2 19 A 11983 Udacity ML Course FINAL V2-rwvFVe3CbXs
25. 2 19 B 11983 Udacity ML Course FINAL V2-sG76ZVt0tS4
25. Evaluation Metrics for Classification
26. Prelaunch Lab
27. 2 20 11983 Udacity ML Course FINAL V2-cEwPyC6pvAY
27. Evaluation Metrics for Regression
28. Lab Train and Evaluate a Model
29. 2 21 LAB 11983 Udacity ML Course FINAL V2-P8XkYitGtXE
29. Walkthrough Train and Evaluate a Model
30. Prelaunch Lab
31. 2 22 11983 Udacity ML Course FINAL V2-c9PdpRJ-djc
31. 2 23 11983 Udacity ML Course FINAL V2-40iS8bfeFv8
31. 2 25 11983 Udacity ML Course FINAL V2-msaXELuThsY
31. Strength in Numbers
32. Lab Train a Two-Class Boosted Decision Tree
33. 2 24 LAB 11983 Udacity ML Course FINAL V2-AhLfTUincPQ
33. Walkthrough Train a Two-Class Boosted Decision Tree
34. Prelaunch Lab
35. Lab Train a Simple Classifier with Automated ML
36. 2 26 LAB 11983 Udacity ML Course FINAL V2-GQA96QHGfyE
36. Walkthrough Train a Simple Classifier with Automated ML
37. 2 27 11983 Udacity ML Course FINAL V2-YV-WLroRscE
37. Lesson Summary

Part 01-Module 01-Lesson 04_Supervised _ Unsupervised Learning:
01. 3 00 11983 Udacity ML Course Lesson3 FINAL V2-JuhUEeomiL8
01. Lesson Overview
02. Prelaunch Lab
03. 3 01 11983 Udacity ML Course Lesson3 FINAL V2-HXnLBA4OOsg
03. 3 02 11983 Udacity ML Course Lesson3 FINAL V2-9mbrJjUEyEI
03. Supervised Learning Classification
04. Lab Two-Class Classifiers Performance
05. 3 32 11983 Udacity ML Course Lesson3 FINAL V2-lXDOH8B0Gs4
05. Walkthrough Two-Class Classifiers Performance
06. Prelaunch Lab
07. 3 04 11983 Udacity ML Course Lesson3 FINAL V2-SR8akpb0zpE
07. Multi-Class Algorithms
08. Lab Multi-Class Classifiers Performance
09. 3 33 11983 Udacity ML Course Lesson3 FINAL V2-QewAKJzDAeg
09. Walkthrough Multi-Class Classifiers Performance
10. Prelaunch Lab
11. Lab Train a Classifier Using Automated Machine Learning
12. 3 34 11983 Udacity ML Course Lesson3 FINAL V2-2PGHJJARRa4
12. Walkthrough Train a Classifier Using Automated ML
13. Prelaunch Lab
14. 3 07 11983 Udacity ML Course Lesson3 FINAL V2-VfIJGRbKptQ
14. 3 08 11983 Udacity ML Course Lesson3 FINAL V2-pf9ccUR8fJg
14. Supervised Learning Regression
15. Lab Regressors Performance
16. 3 36 11983 Udacity ML Course Lesson3 FINAL V2-fH5GNou7nj4
16. Walkthrough Regressors Performance
17. Prelaunch Lab
18. 3 10 11983 Udacity ML Course Lesson3 FINAL V2-g1i5ErYFaUw
18. Automate the Training of Regressors
19. Lab Train a Regressor using Automated Machine Learning
20. 3 38 11983 Udacity ML Course Lesson3 FINAL V2-XpM7c9AAN3Y
20. Walkthrough Train a Regressor using Automated ML
21. 3 12 11983 Udacity ML Course Lesson3 FINAL V2-2ZM50KroKCU
21. 3 13A 11983 Udacity ML Course Lesson3 FINAL V2-xks3HdxklnE
21. 3 13B 11983 Udacity ML Course Lesson3 FINAL V3-87aNOz7QpKM
21. Unsupervised Learning
22. 3 13C 11983 Udacity ML Course Lesson3 FINAL V2-aPF17MZ6LkU
22. Semi-Supervised Learnining
23. Prelaunch Lab
24. 3 14 11983 Udacity ML Course Lesson3 FINAL V2-v4GMgObQpmg
24. 3 15 11983 Udacity ML Course Lesson3 FINAL V2-ZcuW7h8XPws
24. Clustering
25. Lab Train a Simple Clustering Model
26. 3 42 11983 Udacity ML Course Lesson3 FINAL V2-R3P39drDfYY
26. Walkthrough Train a Simple Clustering Algorithm
27. Lesson Summary

Part 01-Module 01-Lesson 05_Applications of Machine Learning:
01. 4 00 11983 Udacity ML Course Lesson4 FINAL V2-1HmKrd2a2_8
01. Lesson Overview
02. 4 01 A 11983 Udacity ML Course Lesson4 FINAL V2--n9joiAbG-g
02. 4 01 B 11983 Udacity ML Course Lesson4 FINAL V2-E6wi222GVUo
02. Classical ML vs. Deep Learning
03. 4 02 A1 11983 Udacity ML Course Lesson4 FINAL V2-pkqVrJ_wVGk
03. 4 02 A2 11983 Udacity ML Course Lesson4 FINAL V2-Lol7o0hihMU
03. 4 02 B 11983 Udacity ML Course Lesson4 FINAL V2-dFiIve3NFwo
03. What is Deep Learning
04. 4 02 C 11983 Udacity ML Course Lesson4 FINAL V3-NcEP9T0cDuU
04. Characteristics of Deep Learning
05. Prelaunch Lab
06. 4 03 11983 Udacity ML Course Lesson4 FINAL V2-Y5Ysf7q-Y9M
06. 4 04 11983 Udacity ML Course Lesson4 FINAL V3-B8hmwP1aCic
06. Benefits and Applications of Deep Learning
07. Lab Train a Simple Neural Net
08. 4 05 Demo 11983 Udacity ML Course Lesson4 FINAL V2-Tt23S02LP6g
08. Walkthrough Train a Simple Neural Net
09. 4 06 A 11983 Udacity ML Course Lesson4 FINAL V2-N86yJ1UP5s8
09. 4 06 B 11983 Udacity ML Course Lesson4 FINAL V2-urQbSmviMx4
09. Specialized Cases of Model Training
10. Prelaunch Lab
11. 4 07 A 11983 Udacity ML Course Lesson4 FINAL V3-aW8ujYYtglg
11. 4 07 B 11983 Udacity ML Course Lesson4 FINAL V3-opL7imA2cjM
11. Similarity Learning
12. Lab Train a Simple Recommender
13. 4 08 Demo A 11983 Udacity ML Course Lesson4 FINAL V2-LWOe5jrngw8
13. 4 08 Demo B 11983 Udacity ML Course Lesson4 FINAL V2-3wl5n7JTjFk
13. Walkthrough Train a Simple Recommender
14. Prelaunch Lab
15. 4 09 A1 11983 Udacity ML Course Lesson4 FINAL V2-sUJ9yorV1V4
15. 4 09 A2 11983 Udacity ML Course Lesson4 FINAL V2-OYgDFnn4dGA
15. 4 09 B 11983 Udacity ML Course Lesson4 FINAL V2-uFjJeVXPkyw
15. Text Classification
16. Lab Train a Simple Text Classifier
17. 4 10 A Demo 11983 Udacity ML Course Lesson4 FINAL V2-IoLpwQiTdPQ
17. 4 10 B Demo 11983 Udacity ML Course Lesson4 FINAL V2-WYF7HnRR1rs
17. Walkthrough Train a Simple Text Classifier
18. 4 11 11983 Udacity ML Course Lesson4 FINAL V3-FZFgoHtdnpE
18. Feature Learning
19. 4 12 A 11983 Udacity ML Course Lesson4 FINAL V2-LGTdscqTl4E
19. 4 12 B 11983 Udacity ML Course Lesson4 FINAL V2-DMJ2erBuWQM
19. 4 12 C 11983 Udacity ML Course Lesson4 FINAL V2-JxFYhiIxllg
19. Applications of Feature Learning
20. 4 13 11983 Udacity ML Course Lesson4 FINAL V2-xFSa2FgkJTE
20. 4 14 A 11983 Udacity ML Course Lesson4 FINAL V2-htPzXY6fVrg
20. 4 14 B 11983 Udacity ML Course Lesson4 FINAL V2-z0ZtPmBJVYY
20. Anomaly Detection
21. Prelaunch Lab
22. 4 15 A 11983 Udacity ML Course Lesson4 FINAL V2-B0Jt1njlV6s
22. 4 15 B 11983 Udacity ML Course Lesson4 FINAL V2-FVwZQ8MR2hc
22. Forecasting
23. Lab Forecasting
24. 4 16 Demo 11983 Udacity ML Course Lesson4 FINAL V2-A_o7iinfabQ
24. Walkthrough Forecasting
25. 4 17 11983 Udacity ML Course Lesson4 FINAL V2-qYJ6kjgzOVI
25. Lesson Summary

Part 01-Module 01-Lesson 06_Managed Services for Machine Learning:
01. 5 00 11983 Udacity ML Course Lesson5 FINAL V2-hoGKdgb8g7M
01. Lesson Overview
02. 5 01 11983 Udacity ML Course Lesson5 FINAL V2-vVZcGHAMOqY
02. Managed Services for Machine Learning
03. Prelaunch Lab
04. 5 02 11983 Udacity ML Course Lesson5 FINAL V2-bif1io4cNQQ
04. 5 03 11983 Udacity ML Course Lesson5 FINAL V2-SOPDkh9P-5I
04. Compute Resources
05. Lab Managing Compute
06. 5 Lab01 11983 Udacity ML Course Lesson5 FINAL-q7RRdfwTWEA
06. Walkthrough Managing Compute
07. Prelaunch Lab
08. 5 05 11983 Udacity ML Course Lesson5 FINAL V2-ZF33SyTMGNA
08. Managed Notebook Environments
09. Lab Managed Notebook Environments
10. 5 Lab02 11983 Udacity ML Course Lesson5 FINAL-YSWxHQsBK-U
10. Walkthrough Managed Notebook Environments
11. Prelaunch Lab
12. 5 07 11983 Udacity ML Course Lesson5 FINAL V2-Ar5V4a0OBug
12. 5 08 11983 Udacity ML Course Lesson5 FINAL V2-PNKjNd0uJSI
12. 5 09 11983 Udacity ML Course Lesson5 FINAL V2-oADXOnCXVNg
12. 5 10 11983 Udacity ML Course Lesson5 FINAL V2-dRB4fj3LD4o
12. 5 11 11983 Udacity ML Course Lesson5 FINAL V2-wWODHPbb8no
12. Basic Modeling
13. Lab Explore Experiments and Runs
14. 5 Lab03 11983 Udacity ML Course Lesson5 FINAL-S0pSSahJJIM
14. Walkthrough Explore Experiments and Runs
15. 5 13 11983 Udacity ML Course Lesson5 FINAL V2-f7uWcFzT-FI
15. 5 14 11983 Udacity ML Course Lesson5 FINAL V2-74ezKhozwY0
15. 5 15 11983 Udacity ML Course Lesson5 FINAL 1080 3M FINAL V4-sDp10jUg9Bk
15. Advanced Modeling
16. Prelaunch Lab
17. 5 16 11983 Udacity ML Course Lesson5 FINAL V3-RcRP0QDPqBc
17. 5 17 11983 Udacity ML Course Lesson5 FINAL V2-bM9wpLEE3YQ
17. 5 18 11983 Udacity ML Course Lesson5 FINAL V2-5faQxutTO_g
17. Operationalizing Models
18. Lab Deploy a Model as a Webservice
19. 5 Lab04 A 11983 Udacity ML Course Lesson5 FINAL-YRjFSMsOfBU
19. 5 Lab04 B 11983 Udacity ML Course Lesson5 FINAL-PV0o_NwgRzk
19. 5 Lab04 C 11983 Udacity ML Course Lesson5 FINAL-YzpvDRggb4Q
19. Walkthrough Deploy a Model as a Webservice
20. Prelaunch Lab
21. 5 20 11983 Udacity ML Course Lesson5 FINAL V2-69xItMGJ2p8
21. Programmatically Accessing Managed Services
22. Lab Training and Deploying from a Compute Instance
23. 5 Lab05 11983 Udacity ML Course Lesson5 FINAL-nOnJXN4XP1M
23. Walkthrough Training and Deploying from a Compute Instance
24. 5 22 11983 Udacity ML Course Lesson5 FINAL V2-ybpXlQi_ZFI
24. Lesson Summary

Part 01-Module 01-Lesson 07_Responsible AI:
01. 6 00 11983 Udacity ML Course Lesson6 FINAL V2-rRZ8UXCnqIc
01. Lesson Overview
02. 6 01 11983 Udacity ML Course Lesson6 FINAL V2-T4tMKKfBUig
02. Modern AI Challenges and Principles
03. 6 02 11983 Udacity ML Course Lesson6 FINAL V2-UxGSdEHLdUU
03. Microsoft AI Principles
04. Prelaunch Lab
05. 6 03A 11983 Udacity ML Course Lesson6 FINAL V2-SPpEwlCFjvQ
05. 6 03B 11983 Udacity ML Course Lesson6 FINAL V2-q-cN7eqonkk
05. Model Transparency _ Explainability
06. Lab Model Explainability
07. 6 04A 11983 Udacity ML Course Lesson6 FINAL V2-QkOssW8N_u4
07. 6 04B 11983 Udacity ML Course Lesson6 FINAL V2-B6iNfHxm-WM
07. Walkthrough Model Explainability
08. 6 05 11983 Udacity ML Course Lesson6 FINAL V2-xcVJsraX3o4
08. 6 05 Demo 11983 Udacity ML Course Lesson6 FINAL V2-D3KyjrsKJCI
08. Model Fairness
09. 6 06 11983 Udacity ML Course Lesson6 FINAL V2-QpSKT_S4X3k
09. Lesson Summary

Part 01-Module 01-Lesson 08_Course Conclusion:
01. 7 00 A 11983 Udacity ML Course Lesson7 FINAL V2-Gqw9cHfuLcc
01. 7 00 B 11983 Udacity ML Course Lesson7 FINAL V2-gxyK2DeGo38
01. Course Conclusion