Python: Beginner's Guide to Artificial Intelligence
Build applications to intelligently interact with the world around you using Python
Book Description
This Learning Path offers practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis. You will be introduced to various machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. You'll find a new balance of classical ideas and modern insights into machine learning. You will learn to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open-source Python libraries.Throughout the Learning Path, you'll learn how to develop deep learning applications for machine learning systems using Feedforward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, and Autoencoders. Discover how to attain deep learning programming on GPU in a distributed way.
By the end of this Learning Path, you know the fundamentals of AI and have worked through a number of case studies that will help you apply your skills to real-world projects.
Book Details | |
| Publisher: | Packt Publishing |
| By: | Denis Rothman, Matthew Lamons, Rahul Kumar |
| ISBN-13: | 9781789957327 |
| ISBN-10: | 178995732X |
| Year: | 2018 |
| Pages: | 676 |
| Language: | English |
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| Source Code | Python: Beginner's Guide to Artificial Intelligence |
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