Beginning JavaScript II

1. Introduction to CRISP-DM and the methodology map as a problem solving framework.
2. Relationships between Data Science, Machine Learning, and Deep Learning.
3. Mathematical basis of Machine Learning and the data pipeline
4. Data Bias and Explainable AI.
5. Introduction to Machine Learning with JavaScript

Self-study Videos

1. Data Science VS Machine Learning (6min 5sec) Required
2. Mathematics of Machine Learning (9min 52sec) Required
3. The 7 steps of machine learning (10 min 35 sec) Required
4. Introduction to CRISP-DM (32 sec) Required
5. Selecting an Analytical Methodology (1min 16sec) Required
6. Non-Predictive Business Problems (0 min 50 sec) Required
7. Introduction to Predictive Business Problems (0 min 50 sec) Required
8. Data Rich Business Problems (0 min 46 sec) Required
9. Data Poor Business Problems (0 min 49 sec) Required
10. Introduction To Numeric Models (1 min 41 sec) Required
11. Introduction To Non-Numeric Models (1 min 16 sec) Required
12. Neural Network Simply Explained – ML for Beginners (6 min 37 sec) Required
13. Explainable AI explained! (6min 52sec) Required
14. AI: Training Data & Bias (2min 40sec) Required
15. ml5.js: Image Classification with MobileNet (24min 20sec) Required
16. ml5.js: Webcam Image Classification (9min 25sec) Required
17. Teachable Machine 1: Image Classification (20min 1sec) Required
18. ml5.js: Object Detection with COCO-SSD (15min 31sec) Required
19. How To Build Your Own AI With ChatGPT API (9 min 50 sec) Optional
20. Connect to the ChatGPT API in Airtable with No-Code! (10min 5sec) Optional