Artificial Intelligence with Python

Autorentext

Michael Solberg, as a chief architect, is responsible for helping Red Hat customers achieve their key business transformation initiatives through open source architectures and technologies. He regularly advises a range of Fortune 100 companies in financial services, healthcare, retail, and transportation verticals on topics such as cloud computing, big data, high-performance computing, and enterprise middleware. At Red Hat since 2008, Michael has led a number of successful initiatives to assist strategic customers adopt new virtualization, systems management, and engineering practices. His previous experience includes building web hosting infrastructure. He is also an avid supporter of the OpenStack project. Michael holds a Bachelor's degree from the University of Georgia and is a regular speaker at industry events.

Klappentext

Publisher's Note: This edition from 2017 is outdated and not compatible with TensorFlow 2.x or any of the most recent updates to Python libraries.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