Artificial Intelligence: A Modern Approach (3rd Edition) 3rd Edition
by Stuart Russell
Artificial Intelligence: A Modern Approach, offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
Dr. Peter Norvig, contributing to Artificial Intelligence author and Professor Sebastian Thrun, a Pearson author are offering a free online course at Stanford University on artificial intelligence.
According to an article in The New York Times, the course on artificial intelligence is â??one of three being offered experimentally by the Stanford computer science department to extend technology knowledge and skills beyond this elite campus to the entire world.â?? One of the other two courses, an introduction to database software, is being taught by Pearson author Dr. Jennifer Widom.
How to Create a Mind: The Secret of Human Thought Revealed
by Ray Kurzweil
Ray Kurzweil is arguably today's most influential-and often controversial-futurist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilization-reverse-engineering the brain to understand precisely how it works and using that knowledge to create even more intelligent machines.
Kurzweil discusses how the brain functions, how the mind emerges from the brain, and the implications of vastly increasing the powers of our intelligence in addressing the world's problems. He thoughtfully examines emotional and moral intelligence and the origins of consciousness and envisions the radical possibilities of our merging with the intelligent technology we are creating.
Certain to be one of the most widely discussed and debated science books of the year, How to Create a Mind is sure to take its place alongside Kurzweil's previous classics which include Fantastic Voyage: Live Long Enough to Live Forever and The Age of Spiritual Machines.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 2nd Edition
by Aurelien Geron
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.
By using concrete examples, minimal theory, and two production-ready Python frameworks-Scikit-Learn and TensorFlow-author Aurelien Geron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.
- Explore the machine learning landscape, particularly neural nets
- Use Scikit-Learn to track an example machine-learning project end-to-end
- Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
- Use the TensorFlow library to build and train neural nets
- Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning
- Learn techniques for training and scaling deep neural nets
Artificial Intelligence: 101 Things You Must Know Today About Our Future Kindle Edition
by Lasse Rouhiainen
Artificial Intelligence: 101 Things You Must Know Today About Our Future is a complete introduction to how emergent technologies impact every aspect of business, society, and humanity. Addressing the hottest topics in AI from self-driving cars to chatbots and robotic healthcare, Rouhiainen's comprehensive information answers your burning questions and addresses obvious fears. Armed with practical tools and strategies, you'll learn how to best prepare for an extraordinary wave of innovation.
In Artificial Intelligence: 101 Things You Must Know Today About Our Future, you'll discover:
- Chatbots, robots, other automated functions, and how these will revolutionize society
- Which industries will be disrupted and how to forward-plan
- How new jobs emerge and what skills you'll need to take advantage of them
- Why ethical standards and re-education are crucial for a modern workforce
- Charts, visual guides, and infographics to expand your understanding and much, much more!
Artificial Intelligence with Python Paperback - Import, 27 Jan 2017
by Prateek Joshi
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. 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 In Detail 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.
The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.