Learn Typing Like A Pro Step By Step Free Filetype Pdf
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Fluent Forever (Revised Edition)
The bestselling guide to learning a new language and remembering what you learned, now revised and updated “A brilliant and thoroughly modern guide . . . If you want a new language to stick, start here.”—Gary Marcus, cognitive psychologist and author of the New York Times bestseller Guitar Zero Gabriel Wyner speaks seven foreign languages fluently. He didn’t learn them in school—who does? Rather, he mastered each one on his own, drawing on free online resources, short practice sessions, and his knowledge of neuroscience and linguistics. In Fluent Forever, Wyner shares his foolproof method for learning any language. It starts by hacking the way your brain naturally encodes information. You’ll discover how to hear new sounds and train your tongue to produce them accurately. You’ll connect spellings and sounds to images so that you start thinking in a new language without translating. With spaced-repetition systems, you’ll build a foundation for your language in a week and learn hundreds of words a month—with just a few minutes of practice each day. This revised edition also shares fresh strategies that Wyner has refined over years of study. You’ll learn to • use your interests to curate vocabulary that you’ll actually be excited to study • fast-track fluency, with a new appendix devoted to conversation strategies with native speakers • compile the best language-learning tool kit for your budget • harness the science of motivation and habit building to turbocharge your progress • find the perfect level of difficulty with reading and listening comprehension to stay engaged and avoid frustration With suggestions for helpful study aids and a wealth of free resources, the intuitive techniques in this book will offer you the most efficient and rewarding way to learn a new language.
Reinforcement Learning, second edition
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
The Greenhouse Gas Protocol
The GHG Protocol Corporate Accounting and Reporting Standard helps companies and other organizations to identify, calculate, and report GHG emissions. It is designed to set the standard for accurate, complete, consistent, relevant and transparent accounting and reporting of GHG emissions.