In this book, key neural network learning algorithms are explained, followed by detailed mathematical analyses. It also covers progress in areas like probabilistic reasoning, machine learning, and computer vision. This book covers the changes and developments in Artificial Intelligence, including practical speech recognition, machine translation, autonomous vehicles, and household robotics. Artificial Intelligence – A Modern Approach (3rd Edition) Its main features include an introductory course on Artificial Intelligence, a knowledge-based approach using agents all across, and detailed, well-structured algorithms with proofs. This book follows a bottom-up approach exploring the basic strategies needed for problem-solving with artificial intelligence. A First Course in Artificial Intelligence Further, the author expands on the questions surrounding the future impact of AI on aspects that include societal trends, ethics, governments, company structures, and daily life. It provides a non-technical introduction to important concepts such as Machine Learning, Deep Learning, Natural Language Processing, Robotics, and more. This book equips you with a fundamental grasp of Artificial Intelligence and its impact. Artificial Intelligence Basics: A Non-Technical Introduction Prior experience with Python and statistical knowledge is essential to make the most out of this book. This book will help you develop your adaptive thinking to solve real-life AI cases. You will be able to understand the most advanced machine learning models, understand how to apply AI to blockchain and IoT and develop emotional quotients in chatbots using neural networks.īy the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop the business vision. This book serves as a starting point for understanding how Artificial Intelligence works with the help of real-life scenarios. ![]() By the end of this book, you will have an in-depth knowledge of Tensorflow and will be the go-to person for solving AI problems. You'll also learn about the advanced features of Tensorflow and how to implement different techniques related to object classification, object detection, image segmentation, and more. You will learn how to extract features from your dataset and perform dimensionality reduction by using Python-based libraries. No strong language, just a very proper kiss or two and a satisfying solution.This book is a complete guide to learning popular machine learning algorithms. Though the books can be read as standalones, there are threads of love and family running through them all. The Automaton Empress is the second novel in the Lady Georgia Brunel Mysteries series set in the Magnificent Devices steampunk world. When they hear whispers about an underground group of rogue inventors, Georgia wonders whether the Empress has actually abdicated of her own free will … or if her life is about to end in the destruction of an empire. So it is up to her and Millie to quietly sift truth from lies in an effort to find the Empress-and bring the villains behind the plot to light. ![]() But he has gone back to the Fifteen Colonies, leaving her with nothing but memories … and unanswered questions. If ever Georgia needed the help of her friend Dustin Seacombe, it is now. If the news gets out, there will be chaos in the Empire, and the heir to the throne will be all too happy to put off his next hunting trip and accept the crown prematurely. They soon discover the reason-she has been replaced by one of her own inventions, an automaton so lifelike that it seems even the Cabinet has not detected the switch. ![]() When Lady Georgia Brunel and her Aunt Millie are summoned before the Empress of Prussia, the brilliant young woman does not seem herself. The Empress of Prussia is quite beside herself …
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