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PrefaceAI in the New PC 8 Who Should Read This Book? 9 Outline of This Book 9 Online Resources 10 Acknowledgments 10 Chapter 1Artificial Intelligence and Machine Learning 11 1.1 What is Artificial Intelligence? 11 1.2 What is Machine Learning? 12 1.3 The Categories of Machine Learning 13 1.4 Yann LeCun’s Cake 15 1.5 Where is the Cake? 15 Chapter 2Supervised Machine Learning Models 17 2.1 Supervised Machine Learning 17 2.2 Training, Validation, and Test Sets 18 2.3 Regression 20 2.4 Classification 34 Chapter 3Unsupervised Machine Learning Models 52 3.1 Unsupervised Machine Learning 52 3.2 Dimensionality Reduction 53 3.3 Clustering 60 3.4 Models 62 Chapter 4Deep Learning Models 65 4.1 Deep Learning 65 4.2 Feedforward Neural Network 68 4.3 Model Training 71 4.4 Model Regularization 74 4.5 Model Prediction 75 4.6 Model Monitoring 75 Chapter 5Reinforcement Learning Models 77 5.1 What is Reinforcement Learning 77 5.2 Dynamic Programming 83 5.3 Model-free Reinforcement Learning 84 5.4 RL with Function Approximation 88 Chapter 6Natural Language Processing (NLP) Models 97 6.1 The Field of Natural Language Processing 97 6.2 Language Tasks 97 6.3 Classical NLP Modelling 99 6.4 Deep NLP Modell
- Author
- Trinh, Minh
- Publisher
- Rodeo Press
- Language
- EN
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