Hands-On Machine Learning with C++
This book will help you explore how to implement different well-known machine learning algorithms with various C++ frameworks and libraries. You will cover basic to advanced machine learning concepts with practical and easy to follow examples. By the end of the book, you will be able to build various machine learning models with ease.
Offered by
Difficulty Level
Intermediate
Completion Time
17h40m
Language
English
About Book
Who Is This Book For?
You will find this C++ machine learning book useful if you want to get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine learning with C++, this book will also appeal to data analysts, data scientists, and machine learning developers who are looking to implement different machine learning models in production using varied datasets and examples. Working knowledge of the C++ programming language is mandatory to get started with this book.
Hands-On Machine Learning with C++
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 17h40m total length
Introduction to Machine Learning with C++
Data Processing
Measuring Performance and Selecting Models
Clustering
Anomaly Detection
Dimensionality Reduction
Classification
Recommender Systems
Ensemble Learning
Neural Networks for Image Classification
Sentiment Analysis with Recurrent Neural Networks
Exporting and Importing Models
Deploying Models on Mobile and Cloud Platforms
Related Resources
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