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Artificial Intelligence with Python Cover

Artificial Intelligence with Python

A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers

Paid access
|Feb 2017
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Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries. A new edition completely updated and revised for 2020 with seven additional chapters that cover RNNs, AI and big data, fundamental use cases, chatbots, and more, is now available.

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you.

Key Features

  • Step into the amazing world of intelligent apps using this comprehensive guide
  • Enter the world of Artificial Intelligence, explore it, and create your own applications
  • Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time

Book Description

Artificial Intelligence is becoming increasingly relevant in the modern world. By harnessing the power of algorithms, you can create apps which intelligently interact with the world around you, building intelligent recommender systems, automatic speech recognition systems and more.

Starting with AI basics you'll move on to learn how to develop building blocks using data mining techniques. Discover how to make informed decisions about which algorithms to use, and how to apply them to real-world scenarios. This practical book covers a range of topics including predictive analytics and deep learning.

What you will learn

  • Realize different classification and regression techniques
  • Understand the concept of clustering and how to use it to automatically segment data
  • See how to build an intelligent recommender system
  • Understand logic programming and how to use it
  • Build automatic speech recognition systems
  • Understand the basics of heuristic search and genetic programming
  • Develop games using Artificial Intelligence

Who this book is for

This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks.

Table of Contents

  1. Introduction to Artificial Intelligence
  2. Classification and regression using supervised learning
  3. Predictive analytics with ensemble learning
  4. Detecting patterns with unsupervised learning
  5. Building recommender systems
  6. Logic programming
  7. Heuristic search techniques
  8. Genetic algorithms
  9. AI Games
  10. Natural Language Processing
  11. Probabilistic Reasoning for sequential data
  12. Speech Recognition
  13. Object detection and tracking
  14. Artificial Neural Networks
  15. Reinforcement Learning
  16. Deep Learning with convolutional neural networks
https://github.com/packtpublishing/artificial-intelligence-with-python
PDF ISBN: 978-1-78646-967-0
Publisher: Packt Publishing Limited
Copyright owner: © 2017 Packt Publishing Limited
Publication date: 2017
Language: English
Pages: 446