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Author: Steve Klabnik Publisher: No Starch Press ISBN: 1718500459 Category : Computers Languages : en Pages : 561
Book Description
The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.
Author: Steve Klabnik Publisher: No Starch Press ISBN: 1718500459 Category : Computers Languages : en Pages : 561
Book Description
The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.
Author: Matt Miller Publisher: ISBN: 9781946444257 Category : Education Languages : en Pages : 240
Book Description
Textbooks are symbols of centuries-old education. They're often outdated as soon as they hit students' desks. Acting "by the textbook" implies compliance and a lack of creativity. It's time to ditch those textbooks--and those textbook assumptions about learning In Ditch That Textbook, teacher and blogger Matt Miller encourages educators to throw out meaningless, pedestrian teaching and learning practices. He empowers them to evolve and improve on old, standard, teaching methods. Ditch That Textbook is a support system, toolbox, and manifesto to help educators free their teaching and revolutionize their classrooms.
Author: Robert Scholes Publisher: Bedford/St. Martin's ISBN: 9780312248796 Category : Language Arts & Disciplines Languages : en Pages : 384
Book Description
Designed for literature-based writing courses, Text Book introduces students to the idea that literary texts and ordinary spoken and written language share many of the same features. By providing imaginative methods and unique assignments that let students work with those features in their writing, Text Book involves students in the processes of exploring literature creatively, not simply consuming and analyzing it, helping them understand literature "from the inside out."
Author: Ian Goodfellow Publisher: MIT Press ISBN: 0262337371 Category : Computers Languages : en Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Arthur Saxon Publisher: Createspace Independent Pub ISBN: 9781466466258 Category : Sports & Recreation Languages : en Pages : 74
Book Description
"To my mind, every man should devote at least some small attention to Weight-lifting. I don't think that I have come to this conclusion simply because I myself have gained some distinction as a weight- lifter, but rather for the reasons set forth below. First of all, why does a man learn to box ? Well, because it is asserted that every man should learn how to defend himself in case of necessity. A good and sufficient reason, you will say. The same may also be put forward as an excuse for learning wrestling and ju-jutsu no doubt, but I am inclined to fancy that the noble art would possibly be more useful than either. As to fencing, club-swinging, etc., I know no reason for their practice except it be that of pleasure or a desire for physical exercise, which said reasons may be equally advanced for Weight-lifting, which it will, I think, be further readily admitted is the most sure and certain means of developing strength —a quality which would be most undeniably useful in any means of self-defence. Now, beside all this, every man in every walk of life is certain, sooner or later, to be confronted with a heavy object, bulky or otherwise, which he strongly desires to lift". - Arthur SaxonThis is an original version, restored and re-formatted edition of Saxon's 1910 classic. Visit our website and see our many books at PhysicalCultureBooks.com
Author: Dennis Tenen Publisher: Stanford University Press ISBN: 1503602346 Category : Social Science Languages : en Pages : 280
Book Description
This book challenges the ways we read, write, store, and retrieve information in the digital age. Computers—from electronic books to smart phones—play an active role in our social lives. Our technological choices thus entail theoretical and political commitments. Dennis Tenen takes up today's strange enmeshing of humans, texts, and machines to argue that our most ingrained intuitions about texts are profoundly alienated from the physical contexts of their intellectual production. Drawing on a range of primary sources from both literary theory and software engineering, he makes a case for a more transparent practice of human–computer interaction. Plain Text is thus a rallying call, a frame of mind as much as a file format. It reminds us, ultimately, that our devices also encode specific modes of governance and control that must remain available to interpretation.
Author: Elizabeth Rossi Publisher: ISBN: 9781987627893 Category : Languages : en Pages : 168
Book Description
Not always sure what to say when you text? Texts and instant-messaging have become the #1 form of communication, so knowing how and what to say is crucial! Learn key texting techniques to help you improve all of your relationships through the most popular form of communication today... texting! Topics covered include: How to avoid the texting pitfalls with tips if you're in one NOW! How to improve the subtext of your text messages and tap into the true intentions of what you're trying to say. Learn modern-day texting etiquette like: when is it okay to use ALL CAPS? Are naked pictures ever okay to send? When to use acronyms? Who cares about commas? And how many emoticons is too many? Take the "Texting Personality" quiz to discover your unique texting personality and traits, and how to communicate better with others. Learn texting basics like how to schedule a text to send in the future, how to see if your text message was read, and when and why to switch between SMS and MMS. Plus spice up your daily texting with HUNDREDS of ready-to-send texts for every occasion... like 100 ways to say hello, responses to off-putting messages, flirty texts for dating, how to say 'no' and 'I'm sorry', and more! This makes a great gift for anyone who wants to improve their texting and communication abilities. BETTER texting = BETTER communication = BETTER relationships.
Author: Harvinder Singh Chhabra Publisher: Wolters kluwer india Pvt Ltd ISBN: 9351294404 Category : Medical Languages : en Pages : 1252
Book Description
SCI needs management by a team comprising of doctors, physiotherapists, occupational therapists, nurses, vocational counsellor, psychologist, assistive technologist, orthotist and social worker. Since the available textbooks did not address the requirements of all disciplines, the need for the proposed textbook was reinforced.
Author: Richard S. Sutton Publisher: MIT Press ISBN: 0262352702 Category : Computers Languages : en Pages : 549
Book Description
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.
Author: Steve Klabnik
Author: Steve Klabnik
Author: Matt Miller
Author: Robert Scholes
Author: Ian Goodfellow
Author: Arthur Saxon
Author: Dennis Tenen
Author: Elizabeth Rossi
Author: Harvinder Singh Chhabra
Author: 
Author: Richard S. Sutton