Joshi Artificial Intelligence with Python

A Comprehensive Guide to Building Intelligent Apps for Python Beginners and Developers
1. Auflage 2024
ISBN: 978-1-78646-967-0
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 446 Seiten

Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries.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 DescriptionArtificial 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 forThis 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.

Autoren/Hrsg.

Joshi, Prateek

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Inhaltsverzeichnis

Table of Contents - Introduction to Artificial Intelligence

- Classification and regression using supervised learning

- Predictive analytics with ensemble learning

- Detecting patterns with unsupervised learning

- Building recommender systems

- Logic programming

- Heuristic search techniques

- Genetic algorithms

- AI Games
- Natural Language Processing
- Probabilistic Reasoning for sequential data

- Speech Recognition

- Object detection and tracking
- Artificial Neural Networks
- Reinforcement Learning
- Deep Learning with convolutional neural networks