Mastering Machine Learning Algorithms
This book is your guide to quickly get to grips with the most widely used machine learning algorithms. As a data science professional, this book will help you design and train better machine learning models to solve a variety of complex problems, and make the machine learn your requirements.
Offered by
Difficulty Level
Intermediate
Completion Time
19h12m
Language
English
About Book
Who Is This Book For?
This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
Mastering Machine Learning Algorithms
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 19h12m total length
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
Advanced Clustering and Feature Extraction
Ensemble Learning
Neural Networks for Machine Learning
Advanced Neural Models
Auto-Encoders
Generative Adversarial Networks
Deep Belief Networks
Introduction to Reinforcement Learning
Policy estimation algorithms
Related Resources
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