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Hands-On Machine Learning with C++

You're reading from Hands-On Machine Learning with C++ Build, train, and deploy end-to-end machine learning and deep learning pipelines

Product type Paperback

Published in May 2020

Publisher Packt

ISBN-13 9781789955330

Length 530 pages

Edition 1st Edition

Languages

C++

Tools

Caffe

Concepts

Deep Learning

Author (1):

Kirill Kolodiazhnyi

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1: Overview of Machine Learning

2. Introduction to Machine Learning with C++ FREE CHAPTER

3. Data Processing

4. Measuring Performance and Selecting Models

5. Section 2: Machine Learning Algorithms

6. Clustering

7. Anomaly Detection

8. Dimensionality Reduction

9. Classification

10. Recommender Systems

11. Ensemble Learning

12. Section 3: Advanced Examples

13. Neural Networks for Image Classification

14. Sentiment Analysis with Recurrent Neural Networks

15. Section 4: Production and Deployment Challenges

16. Exporting and Importing Models

17. Deploying Models on Mobile and Cloud Platforms

18. Other Books You May Enjoy

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Further reading

THE HDF5® LIBRARY & FILE FORMAT: https://www.hdfgroup.org/solutions/hdf5/
GitHub link for Fast C++ CSV Parser: https://github.com/ben-strasser/Fast-CPP-CSV-Parser
OpenCV: https://opencv.org/
Dlib C++ Library: http://Dlib.net/
RapidJSON Documentation: http://rapidjson.org/
The official page of the Iris dataset: https://archive.ics.uci.edu/ml/datasets/iris

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Authors (1)

Kirill Kolodiazhnyi

Kirill Kolodiazhnyi

Kirill Kolodiazhnyi is a seasoned software engineer with expertise in custom software development. He has several years of experience building machine learning models and data products using C++. He holds a bachelor degree in Computer Science from the Kharkiv National University of Radio-Electronics. He currently works in Kharkiv, Ukraine where he lives with his wife and daughter.

See other products by Kirill Kolodiazhnyi

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