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Easy Learning Machine Learning: Lecture-type, Easy to read, Visualized Content, From History to Recent Trends
Easy to read lecture book on Machine Learning for self-learning
Chapter 1. Introduction to Machine Learning
Chapter 2. Supervised vs. Unsupervised Learning
Chapter 3. History of Artificial Intelligence and Machine Learning
Chapter 4. Process of Applying Machine Learning to Data
Chapter 5. Support Vector Machine
Chapter 6. Artificial Neural Network
Chapter 7. Back Propagation Network
Chapter 8. Techniques in Deep Learning
Chapter 9. Decision Tree & Ensemble Learning
Chapter 10. Naïve Bayes / Logistic Regression / K-means Clustering
Chapter 11. AlphaGo Algorithm & Reinforcement Learning
Chapter 12. Deep Learning / Alex Net / DQN
Chapter 1. Introduction to Machine Learning
Chapter 2. Supervised vs. Unsupervised Learning
Chapter 3. History of Artificial Intelligence and Machine Learning
Chapter 4. Process of Applying Machine Learning to Data
Chapter 5. Support Vector Machine
Chapter 6. Artificial Neural Network
Chapter 7. Back Propagation Network
Chapter 8. Techniques in Deep Learning
Chapter 9. Decision Tree & Ensemble Learning
Chapter 10. Naïve Bayes / Logistic Regression / K-means Clustering
Chapter 11. AlphaGo Algorithm & Reinforcement Learning
Chapter 12. Deep Learning / Alex Net / DQN
64 pages, Kindle Edition
Published August 9, 2022
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