Artificial Intelligence with Python
暫譯: 使用 Python 的人工智慧

Artificial Intelligence with Python: A Comprehensive Guide to Building Intelligent Apps for Python Beginners & Developers

Build real-world Artificial Intelligence applications to intelligently interact with the world around you, explore real-world scenarios, and learn about the various algorithms which can be used to build AI applications. Packed with insightful examples and topics such as predictive analytics and deep learning, this book is a must-have for Python developers.

Summary

Enter and explore the fascinating world of intelligent apps with Artificial Intelligence with Python. From deep learning through to clustering and predictive analytics, you’ll cover introductory and more advanced Artificial Intelligence topics, allowing you to create intelligent apps.

About the Technology

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.

About the Book

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’s Inside

• Cover the basics of Artificial Intelligence and dive into insightful examples
• Understand how to use different algorithms and build apps based on them
• Add intelligence layers to any apps based on various data

About the Reader

Ideal for Python developers who want to build real-world Artificial Intelligence applications, this book is accessible to Python beginners, and is also suitable for experienced Python programmers looking to use AI techniques in their existing technology stacks.

About the Author

Prateek Joshi is an artificial intelligence researcher, TEDx speaker, and published author of 5 books. Founder of venture-funded Silicon Valley startup Pluto AI, his work in the AI field has led to patents, tech demos and research papers. Prateek has worked for companies including Nvidia and Microsoft Research, and is a popular tech blogger and avid coder.

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. Building Games With Artificial Intelligence
10. Natural Language Processing
11. Probabilistic Reasoning for Sequential Data
12. Building A Speech Recognizer
13. Object Detection and Tracking
14. Artificial Neural Networks
15. Reinforcement Learning
16. Deep Learning with Convolutional Neural Networks