Book

Practical Machine Learning Cookbook

Machine learning is the new BLACK GOLD. In this book, we explore topics such as classification, clustering, model selection and regularization, nonlinearity, supervised, unsupervised, and reinforcement learning, structured prediction, neural networks, deep learning, and case studies. The algorithms are developed using R.The book is for students and professionals in the field of statistics, data analytics, and computer science.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

19h

Language

English

About Book

Who Is This Book For?

This book is for analysts, statisticians, and data scientists with knowledge of fundamentals of machine learning and statistics, who need help in dealing with challenging scenarios faced every day of working in the field of machine learning and improving system performance and accuracy. It is assumed that as a reader you have a good understanding of mathematics. Working knowledge of R is expected.

Book content

chapters 19h total length

Introduction

Classification

Clustering

Model Selection and Regularization

Non-linearity

Supervised Learning

Unsupervised Learning

Reinforcement learning

Structured prediction

Neural Networks

Deep Learning

Case Study 1

Case Study 2

Case Study 3

Related Resources

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