Book Content
chapters • 14h8m total length
1. How to Sound like a Data Scientist
2. Types of Data
3. The Five Steps of Data Science
4. Basic Mathematics
5. Impossible or Improbable? – A Gentle Introduction to Probability
6. Advanced Probability
7. Basic Statistics
8. Advanced Statistics
9. Communicating Data
10. How to tell if your toaster is learning -- Machine Learning Essentials
11. Predictions Don’t Grow on Trees, or do they?
12. Beyond The Essentials
13. Case Studies
14. Microsoft Azure Databricks
15. Building Machine Learning Models with Azure Databricks and Azure ML
