As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data analytics using Python 3. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, and data cleaning.
This book is for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics.
The term ""4th Industrial Revolution"" has become commonplace, popping up in various media, but the public's understanding of the underlying technologies is often lagging the fast-pace of its related technological developments. This book is designed to bridge the gap which exists between the 4th industry-related technology boom and the ......
Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, this book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are also covered in detail.
This third edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on deep learning, robotics and machine learning are included. Advanced ......
National Security Law for the Coming AI Revolution
Addresses how national security law can and should be applied to artificial intelligence, which enables a wide range of decisions and actions not contemplated by current law. James Baker adopts a realistic approach in assessing how the law can be used, or even misused, to regulate this new technology.
Presents a short tour of basic Angular functionality, such as UI components and forms in Angular applications; introduces machine learning concepts; cpvers classification algorithms, such as kNN, and Naive Bayes; and introduces basic TensorFlow concepts.
This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. ......
Identifies some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. The book provides a general introduction to the various branches of AI, including formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic.
