With Mastering Machine Learning Algorithms, discover high-performing machine learning algorithms and understand how they work in depth. Master concepts related to algorithm tuning, parameter optimization, and more. (Limited-time offer)
Topics included: Machine Learning Model Fundamentals • Introduction to Semi-Supervised Learning • Graph-Based Semi-Supervised Learning • Bayesian Networks and Hidden Markov Models • EM Algorithm and Applications • Hebbian Learning and Self-Organizing Maps • Clustering Algorithms • Ensemble Learning • Neural Networks for Machine Learning • Advanced Neural Models • Autoencoders • Generative Adversarial Networks • Deep Belief Networks • Introduction to Reinforcement Learning • Advanced Policy Estimation • Algorithms
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Publisher: Packt Publishing
Published: May 2018
File size: –
Number of pages: 576
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Free as of 09/04/2019.