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A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides you through creating compelling AI-powered games and applications using the Scratch programming language.
Machine learning (also known as ML) is one of the building blocks of AI, or artificial intelligence. AI is based on the idea that computers can learn on their own, with your help. Machine Learning for Kids will introduce you to machine learning, painlessly. With this book and its free, Scratch-based, award-winning companion website, you'll see how easy it is to add machine learning to your own projects. You don't even need to know how to code As you work through the book you'll discover how machine learning systems can be taught to recognize text, images, numbers, and sounds, and how to train your models to improve their accuracy. You'll turn yourProdukt Machine Learning for Kids: A Project-Based Introduction to Artificial Intelligence (Lane Dale)(Paperback) označuje EAN kód 9781718500563.
Kategorie | Knihy |
EAN | 9781718500563 |
A hands-on, application-based introduction to machine learning and artificial intelligence (AI) that guides you through creating compelling AI-powered games and applications using the Scratch programming language. Machine learning (also known as ML) is one of the building blocks of AI, or
Artificial intelligence is creating huge opportunities for workplace learning and employee development. However, it can be difficult for L&D professionals to assess what difference AI can make in their organization and where it is best implemented. Artificial Intelligence for Learning is the
The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars.Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine
If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll
Practical Artificial IntelligenceChapter 1: Logic & AIChapter 2: Automated Theorem Proving & First Order LogicChapter 3: AgentsChapter 4: Mars RoverChapter 5: Multi-Agent SystemsChapter 6: Communication in a Multi-Agent System using WCFChapter 7: Cleaning Agents: A multi-Agent System ProblemChapter
The reality of autonomous machines with artificial intelligence is becoming more real every day. The ability of machines to think and learn fascinates everyone, but now even the most reluctant readers have a chance to engage in learning about the history and future of
Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation,
Introduction.- Logic and Inferencing.- First Order Predicate Logic.- Rule Based Reasoning.- Introduction to Prolog Language.- Knowledge Representation and Reasoning.- Networks Based Representation.- State Space Search.- Heuristic Search.- Constraint Satisfaction Problems.- Search and Game Playing.-
The applications of Artificial Intelligence lie all around us; in our homes, schools and offices, in our cinemas, in art galleries and -- not least -- on the Internet. The results of Artificial Intelligence have been invaluable to biologists, psychologists, and linguists in helping to understand
Artificial Intelligence (AI) has seen major advances in recent years. While machines were always central to the Marxist analysis of capitalism, AI is a new kind of machine that Marx could not have anticipated. Contemporary machine-learning AI allows machines to increasingly approach human
Dramatic statements about the promise and peril of artificial intelligence for humanity abound, as an industry of experts claims that AI is poised to reshape nearly every sphere of life. Who profits from the idea that the age of AI has arrived? Why do ideas of AI's transformative potential keep
Increase achievement and engagement for all students in 21st century classrooms! Project-based learning has emerged as one of today's most effective instructional practices. In PBL, students confront real-world issues and problems, collaborate to create solutions, and present their results. This
Featured by Tableau as the first of '7 Books About Machine Learning for Beginners' Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey, there are some theory and
Learn PySparkChapter 1: Introduction to PySparkChapter 2: Data ProcessingChapter 3: Spark Structured StreamingChapter 4: AirflowChapter 5: Machine Learning Library (MLlib)Chapter 6: Supervised Machine LearningChapter 7: Unsupervised Machine LearningChapter 8: Deep Learning Using PySpark
Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neighbours K Means Clustering Na ve Bayes Classifier Regression Methods Support Vector Machines Self-Organizing Maps Decision Trees Neural Networks Reinforcement
Project-based and industry-linked learning are increasingly pursued in undergraduate studies at the university as well as at the polytechnics, 'A' levels and the international baccalaureate programmes. These courses are usually structured as part of the Final Year Projects. Their applied nature is
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning
Dym, Little and Orwin's Engineering Design: A Project-Based Introduction, 4th Edition gets students actively involved with conceptual design methods and project management tools. The book helps students acquire design skills as they experience the activity of design by doing design projects. It is
You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool. But where to start? It's easy to be intimidated, even as a software developer. The good news is that it doesn't have to be that hard. Master machine learning
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage.In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them
Inquiry, laboratory, project-based learning, discovery learning--which science instructional approach is most effective? In Visible Learning for Science, the authors reveal that it's not which strategy, but when, and plot a vital K-12 framework for choosing the right approach at the right time,