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An Introduction to Machine Learning
1. Introduction to Machine Learning
1.13. History of Machine Learning
1.14. Python Ambient - Anaconda, Colab and Kaggle
1.15. Python Programming
1.15.1. Introduction Python Programming
1.15.2. List arrays
1.16. Statistics
1.17. Mathematics and Linear Algebra
2. Big Data - Intro Data Engineering using Spark and Hadoop
3. Data Preprocessing
4. Supervised Learning
5. Unsupervised Learning
6. Deep Learning and Neural Networks
7. Reinforcement Learning
8. Computer Vision
9. Natural Language Processing
10. Time Series
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Mathematics and Linear Algebra
1.17.
Mathematics and Linear Algebra
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