0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Machine Learning Automation with TPOT

You're reading from Machine Learning Automation with TPOT Build, validate, and deploy fully automated machine learning models with Python

Product type Paperback

Published in May 2021

Publisher Packt

ISBN-13 9781800567887

Length 270 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Author (1):

Dario Radečić

View More author details

Table of Contents (14) Chapters

Preface

1. Section 1: Introducing Machine Learning and the Idea of Automation

2. Chapter 1: Machine Learning and the Idea of Automation FREE CHAPTER

3. Section 2: TPOT – Practical Classification and Regression

4. Chapter 2: Deep Dive into TPOT

5. Chapter 3: Exploring Regression with TPOT

6. Chapter 4: Exploring Classification with TPOT

7. Chapter 5: Parallel Training with TPOT and Dask

8. Section 3: Advanced Examples and Neural Networks in TPOT

9. Chapter 6: Getting Started with Deep Learning: Crash Course in Neural Networks

10. Chapter 7: Neural Network Classifier with TPOT

11. Chapter 8: TPOT Model Deployment

12. Chapter 9: Using the Deployed TPOT Model in Production

13. Other Books You May Enjoy

Chapter 5: Parallel Training with TPOT and Dask

In this chapter, you'll dive into a bit of a more advanced topic; that is, automated machine learning. You'll learn how to handle machine learning tasks in a parallel manner by distributing the work on a Dask cluster. This chapter will be more theoretical than the previous two, but you will still learn many useful things.

We'll cover essential topics and ideas behind parallelism in Python, and you'll learn how to achieve parallelism in a couple of different ways. Then, we'll dive deep into the Dask library, explore its basic functionality, and see how you can tie it with TPOT.

This chapter will cover the following topics:

Introduction to parallelism in Python
Introduction to the Dask library
Training machine learning models with TPOT and Dask

Let's get started!

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at R$50/month. Cancel anytime

Authors (1)

Radečić

Radečić

Dario Radečić is a full-time data scientist at Neos, in Croatia, a part-time data storyteller at Appsilon, in Poland, and a business owner. Dario has a master's degree in data science and years of experience in data science and machine learning, with an emphasis on automated machine learning. He is also a top writer in artificial intelligence on Medium and the owner of a data science blog called Better Data Science.

See other products by Radečić

Other recommended products

Related to this chapter

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Flask Framework Cookbook

Flask Framework Cookbook

This second edition will share practical, modern solutions and best practices on Flask web development. It enables you to work with templates, ORM, view layers, and admin interface to help you build, deploy, and debug powerful web apps. The book concludes with effective deployment and post-deployment techniques on Apache, Tornado, and Heroku.

Jul 2019 10h 4m

Automated Machine Learning

Automated Machine Learning

This guide will help you to explore automated machine learning (AutoML), a rapidly growing subfield of machine learning. You'll learn how you can use AutoML to fully automate the machine learning process even if you're not an expert, and in turn increase your productivity drastically.

Feb 2021 10h 24m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m