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This book describes the coming disruptions caused by autonomous systems AS, which are unique blends of AI, big data and the Internet of Things IoT. An example of an AS is a driverless car. Big data is the key element here that is still receiving scant attention as compared to...
This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you'll work through a sample business decision by employing a variety of data science approaches.
By Mark Stamp
This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and computer security courses.
This book provides an in-depth exploration of human commonsense reasoning using formal logic in large-scale knowledge representation. Of special interest to artificial intelligence researchers, linguists, and cognitive and social psychologists, it serves as a foundation for humanlike artificial intelligence.
This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.
In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. If you're familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started.
This book introduces the concept of software architecture as one of the cornerstones of software in modern cars.
Tackle a variety of tasks in natural language processing by learning how to use the R language and tidy data principles. This practical guide provides examples and resources to help you get up to speed with dplyr, broom, ggplot2, and other tidy tools from the R ecosystem.
Garry Kasparov gives his first public account of his landmark 1997 chess match with the IBM supercomputer Deep Blue, and explains why, twenty years later, he's become convinced that artificial intelligence is good for humans.