文件名称：Artificial Intelligence with Python [EPUB]
文件大小：49.03MB
文件格式：EPUB
更新时间：2020-03-15 05:07:30
Artificial Intelligence Python
Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you’ll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that’s based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! 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 Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it Table of Contents Chapter 1. Introduction to Artificial Intelligence Chapter 2. Classification and Regression Using Supervised Learning Chapter 3. Predictive Analytics with Ensemble Learning Chapter 4. Detecting Patterns with Unsupervised Learning Chapter 5. Building Recommender Systems Chapter 6. Logic Programming Chapter 7. Heuristic Search Techniques Chapter 8. Genetic Algorithms Chapter 9. Building Games With Artificial Intelligence Chapter 10. Natural Language Processing Chapter 11. Probabilistic Reasoning for Sequential Data Chapter 12. Building A Speech Recognizer Chapter 13. Object Detection and Tracking Chapter 14. Artificial Neural Networks Chapter 15. Reinforcement Learning Chapter 16. Deep Learning with Convolutional Neural Networks