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Hands-On Machine Learning with C++
Hands-On Machine Learning with C++

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines , Second Edition

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Profile Icon Kirill Kolodiazhnyi
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$59.99
Hardcover Jan 2025 530 pages 2nd Edition
eBook
$9.99 $39.99
Paperback
$49.99
Hardcover
$59.99
Hardcover + Subscription
$29.99 Monthly
Arrow left icon
Profile Icon Kirill Kolodiazhnyi
Arrow right icon
$59.99
Hardcover Jan 2025 530 pages 2nd Edition
eBook
$9.99 $39.99
Paperback
$49.99
Hardcover
$59.99
Hardcover + Subscription
$29.99 Monthly
eBook
$9.99 $39.99
Paperback
$49.99
Hardcover
$59.99
Hardcover + Subscription
$29.99 Monthly

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Key benefits

  • Familiarize yourself with data processing, performance measuring, and model selection using various C++ libraries
  • Implement practical machine learning and deep learning techniques to build smart models
  • Deploy machine learning models to work on mobile and embedded devices
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Written by a seasoned software engineer with several years of industry experience, this book will teach you the basics of machine learning (ML) and show you how to use C++ libraries, along with helping you create supervised and unsupervised ML models. You’ll gain hands-on experience in tuning and optimizing a model for various use cases, enabling you to efficiently select models and measure performance. The chapters cover techniques such as product recommendations, ensemble learning, anomaly detection, sentiment analysis, and object recognition using modern C++ libraries. You’ll also learn how to overcome production and deployment challenges on mobile platforms, and see how the ONNX model format can help you accomplish these tasks. This edition is updated with key topics such as sentiment analysis implementation using transfer learning and transformer-based models, with tracking and visualizing ML experiments with MLflow. An additional section shows how to use Optuna for hyperparameter selection. The section on model deployment into mobile platform includes a detailed explanation of real-time object detection for Android with C++. By the end of this C++ book, you’ll have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems. *Email sign-up and proof of purchase required

Who is this book for?

This book is for beginners looking to explore machine learning algorithms and techniques using C++. This book is also valuable for data analysts, scientists, and developers who want to implement machine learning models in production. Working knowledge of C++ is needed to make the most of this book.

What you will learn

  • Employ key machine learning algorithms using various C++ libraries
  • Load and pre-process different data types to suitable C++ data structures
  • Find out how to identify the best parameters for a machine learning model
  • Use anomaly detection for filtering user data
  • Apply collaborative filtering to manage dynamic user preferences
  • Utilize C++ libraries and APIs to manage model structures and parameters
  • Implement C++ code for object detection using a modern neural network
Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 24, 2025
Length: 530 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789955330
Category :
Languages :
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What do you get with Print?

Product feature icon Instant access to your digital copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Redeem a companion digital copy on all Print orders
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
Estimated delivery fee Deliver to United States

Economy delivery 10 - 13 business days

Free $6.95

Premium delivery 6 - 9 business days

$21.95
(Includes tracking information)

Product Details

Publication date : Jan 24, 2025
Length: 530 pages
Edition : 2nd
Language : English
ISBN-13 : 9781789955330
Category :
Languages :
Concepts :
Tools :

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Table of Contents

21 Chapters
Part 1:Overview of Machine Learning Chevron down icon Chevron up icon
Chapter 1: Introduction to Machine Learning with C++ Chevron down icon Chevron up icon
Chapter 2: Data Processing Chevron down icon Chevron up icon
Chapter 3: Measuring Performance and Selecting Models Chevron down icon Chevron up icon
Part 2: Machine Learning Algorithms Chevron down icon Chevron up icon
Chapter 4: Clustering Chevron down icon Chevron up icon
Chapter 5: Anomaly Detection Chevron down icon Chevron up icon
Chapter 6: Dimensionality Reduction Chevron down icon Chevron up icon
Chapter 7: Classification Chevron down icon Chevron up icon
Chapter 8: Recommender Systems Chevron down icon Chevron up icon
Chapter 9: Ensemble Learning Chevron down icon Chevron up icon
Part 3: Advanced Examples Chevron down icon Chevron up icon
Chapter 10: Neural Networks for Image Classification Chevron down icon Chevron up icon
Chapter 11: Sentiment Analysis with BERT and Transfer Learning Chevron down icon Chevron up icon
Part 4: Production and Deployment Challenges Chevron down icon Chevron up icon
Chapter 12: Exporting and Importing Models Chevron down icon Chevron up icon
Chapter 13: Tracking and Visualizing ML Experiments Chevron down icon Chevron up icon
Chapter 14: Deploying Models on a Mobile Platform Chevron down icon Chevron up icon
Chapter 15: Unlock Your Exclusive Benefits Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
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