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Book Overview & Buying
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Table Of Contents
Artificial Intelligence with Python
By :
Artificial Intelligence with Python
By:
Overview of this book
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.
Table of Contents (17 chapters)
Preface
Free Chapter
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
