
Mastering Machine Learning Algorithms - Second Edition
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Machine Learning Model Fundamentals
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Free ChapterLoss Functions and Regularization
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Introduction to Semi-Supervised Learning
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Advanced Semi-Supervised Classification
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Graph-Based Semi-Supervised Learning
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Clustering and Unsupervised Models
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Advanced Clustering and Unsupervised Models
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Clustering and Unsupervised Models for Marketing
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Generalized Linear Models and Regression
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Introduction to Time-Series Analysis
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Bayesian Networks and Hidden Markov Models
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The EM Algorithm
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Component Analysis and Dimensionality Reduction
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Hebbian Learning
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Fundamentals of Ensemble Learning
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Advanced Boosting Algorithms
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Modeling Neural Networks
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Optimizing Neural Networks
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Deep Convolutional Networks
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Recurrent Neural Networks
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Autoencoders
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Introduction to Generative Adversarial Networks
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Deep Belief Networks
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Introduction to Reinforcement Learning
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Advanced Policy Estimation Algorithms
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Other Books You May Enjoy
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Index
- Publication date:
- January 2020
- Publisher
- Packt
- Pages
- 798
- ISBN
- 9781838820299