Artificial Intelligence and Robotics: Find Books

This intro to deep learning offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning. Discover how to use the machine learning techniques that form the core of modern AI Intellectual adventurers and build intelligent systems. From writing songs and generating news articles to helping doctors provide healthcare, deep learning is the source of many of these breakthroughs. Its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI).

A comprehensive survey of artificial intelligence algorithms and programming organization for robot systems, combining theoretical rigor and practical applications. Readers who master the topics covered will be able to design and evaluate an artificially intelligent robot for applications involving sensing, acting, planning, and learning. A background in AI is not required; the book introduces key AI topics from all AI subdisciplines throughout the book and explains how they contribute to autonomous capabilities. An introductory overview provides a framework for thinking about AI for robotics, distinguishing between the fundamentally different design paradigms of automation and autonomy. The book then discusses the reactive functionality of sensing and acting in AI robotics; introduces the deliberative functions most often associated with intelligence and the capability of autonomous initiative; surveys multi-robot systems and (in a new chapter) human-robot interaction; and offers a "metaview" of how to design and evaluate autonomous systems and the ethical considerations in doing so. New material covers locomotion, simultaneous localization and mapping, human-robot interaction, machine learning, and ethics. Includes exercises, case studies & endnotes that point to additional reading, highlight advanced topics, and offer robot trivia.

Learn about the ChatGPT API & its full potential. This book aims to equip you with the necessary knowledge & tools required to stay ahead of the curve in the world of ChatGPT API. In addition to exploring the power of conversational AI, learn how to leverage the advanced features of ChatGPT to create personalized, engaging, & seamless interactions with users.

As Artificial Intelligence (AI) technologies rapidly progress, questions about the ethics of AI become more pressing than ever. The book features seventeen original essays organized into four sections, exploring the issues surrounding how to build ethics into machines; ethical issues in specific technologies, including self-driving cars, autonomous weapon systems, surveillance algorithms, and sex robots; the long term risks of superintelligence; and whether AI systems can be conscious or have rights.

Explore the capabilities of the NVIDIA Jetson Nano, an IoT device designed to perform computations like a computer desktop. This book will show you how to build your first project and optimize your devices, programs, and daily activities with the AI computation abilities of the Jetson Nano. This board consists of CPU Quad-core ARM A57 @ 1.43 GHz and GPU 128-core Maxwell. With this hardware specification, the board can run multiple neural networks in parallel for complex AI applications. With the integrated sensor and actuators, this board enables stronger IoT solutions and provides more advanced capabilities. Discover how develop complex IoT projects with the Jetson Nano today. What You'll Learn Set up NVIDIA Jetson Nano device Build applications like image classification, object detection, segmentation, and speech processing. Use the Jetson Nano to process daily computer activities such as browsing the internet, checking emails, or playing music and videos Implement machine learning computations into your projects This Book Is For: Makers, developers, students, & professional of all levels who are new to the NVIDIA Jetson Nano technology.

This book presents the major alternative concepts driving the future of operating system design for high performance computing, describing the major advances of monolithic operating systems such as Linux and Unix that dominate the TOP500 list. It also presents the state of the art in lightweight kernels that exhibit high efficiency and scalability at the loss of generality. This work looks forward to possibly the most promising strategy of a hybrid structure combining full service functionality with lightweight kernel operation. (From the foreword by Thomas Sterling)

If you read nothing else on how intelligent machines are revolutionizing business, read these 10 articles from Harvard Business Review. Understand how these technologies work together, how to adopt them, and why your strategy can't ignore them. You'll learn how: Data science, driven by artificial intelligence & machine learning, is yielding unprecedented business insights; Blockchain has the potential to restructure the economy; Drones & driverless vehicles are becoming essential tools; 3-D printing is making new business models possible: Augmented reality is transforming retail and manufacturing; Smart speakers are redefining the rules of marketing; Humans and machines are working together to reach new levels of productivity.

Time to flex your machine learning muscles! Take on the carefully designed challenges of the Machine Learning Bookcamp and master essential ML techniques through practical application. Summary In Machine Learning Bookcamp you will:     Collect and clean data for training models     Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow     Apply ML to complex datasets with images     Deploy ML models to a production-ready environment The only way to learn is to practice! In Machine Learning Bookcamp, you'll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image analysis, each new project builds on what you've learned in previous chapters. You'll build a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Master key machine learning concepts as you build actual projects! Machine learning is what you need for analyzing customer behavior, predicting price trends, evaluating risk, and much more. To master ML, you need great examples, clear explanations, and lots of practice. This book delivers all three! About the book Machine Learning Bookcamp presents realistic, practical machine learning scenarios, along with crystal-clear coverage of key concepts. In it, you'll complete engaging projects, such as creating a car price predictor using linear regression and deploying a churn prediction service. You'll go beyond the algorithms and explore important techniques like deploying ML applications on serverless systems and serving models with Kubernetes and Kubeflow. Dig in, get your hands dirty, and have fun building your ML skills! What's inside     Collect and clean data for training models     Use popular Python tools, including NumPy, Scikit-Learn, and TensorFlow     Deploy ML models to a production-ready environment About the reader Python programming skills assumed. No previous machine learning knowledge is required. About the author Alexey Grigorev is a principal data scientist at OLX Group. He runs DataTalks.Club, a community of people who love data. Table of Contents 1 Introduction to machine learning 2 Machine learning for regression 3 Machine learning for classification 4 Evaluation metrics for classification 5 Deploying machine learning models 6 Decision trees and ensemble learning 7 Neural networks and deep learning 8 Serverless deep learning 9 Serving models with Kubernetes and Kubeflow

A Wall Street Journal bestseller A Publisher's Weekly bestseller A fascinating look at the trailblazing companies using artificial intelligence to create new competitive advantage, from the author of the business classic, Competing on Analytics, and the head of Deloitte's US AI practice. Though most organizations are placing modest bets on artificial intelligence, there is a world-class group of companies that are going all-in on the technology and radically transforming their products, processes, strategies, customer relationships, and cultures.

Current and Future Application of Artificial Intelligence in ClinicalMedicine presents updateson the application of machine learning and deep learning techniques in medicalprocedures. . Chapters in the volume have been written by outstanding contributors from cancer and computer science institutes with the goal of providing updated knowledge to the reader.