Welcome
Preface
I Learning Path: Machine Learning
1
Opening Thoughts
1.1
The Future
1.2
Recommendation
2
Non-Technical Path
2.1
Intro to AI
2.1.1
Opening Thoughts
2.1.2
Overview of AI and ML
2.1.3
History of AI
2.1.4
AI Ethics and Fairness
2.1.5
ML Process and Lifecycle
2.1.6
Facts of Life with ML
2.1.7
AI on Azure
2.1.8
Additional Resources
2.2
Book List
2.2.1
General AI Books
2.2.2
Multidisciplinary Thinking and Mental Models
2.2.3
Innovation and Systems Thinking
3
Technical Path
3.1
Introduction
3.1.1
Opening Thoughts
3.1.2
R or Python?
3.1.3
Getting the Most out of Learning
3.2
Installing Software
3.2.1
Python
3.2.2
R
3.2.3
Additional Resources
3.3
Data Analysis and Manipulation
3.3.1
Python
3.3.2
R
3.3.3
Additional Resources
3.4
Version Control
3.4.1
High Level Overview
3.4.2
Python
3.4.3
R
3.4.4
Additional Resources
3.5
Machine Learning Basics
3.5.1
High Level Topics
3.5.2
Python
3.5.3
R
3.5.4
Additional Resources
3.6
Regression
3.6.1
High Level Topics
3.6.2
Python
3.6.3
R
3.6.4
How Various Models Work
3.6.5
Additional Resources
3.7
Time Series
3.7.1
High Level Topics
3.7.2
Python
3.7.3
R
3.7.4
How Various Models Work
3.7.5
Additional Learning Resources
3.8
Classification
3.8.1
High Level Topics
3.8.2
Python
3.8.3
R
3.8.4
How Various Models Work
3.8.5
Additional Learning Resources
3.9
Unsupervised Learning
3.9.1
Python
3.9.2
R
3.9.3
How Various Models Work
3.10
Natural Language Processing
3.10.1
Python
3.10.2
R
3.10.3
Additional Resources
3.11
Deep Learning
3.11.1
High Level Topics
3.11.2
Python
3.11.3
R
3.11.4
Additional Resources
3.12
Model Interpretability
3.12.1
High Level Topics
3.12.2
Python
3.12.3
R
3.13
AI Ethics and Fairness
3.13.1
High Level Topics
3.13.2
Python
3.14
Web Apps
3.14.1
Python
3.14.2
R
3.15
Production on Azure
3.15.1
Data Storage
3.15.2
General Data Analytics
3.15.3
Machine Learning
3.15.4
Additional Resources
3.16
Life as a Data Scientist
3.16.1
Build Models and Build Community
3.16.2
Coding Best Practices
3.16.3
Getting a Job
3.16.4
Additional Resources
II Advanced Analytics at Microsoft
4
Opening Thoughts
5
FP&A
5.1
AA Focus Areas
Advanced Analytics at Microsoft Finance
Chapter 5
FP&A
5.1
AA Focus Areas
to-do