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 Название: Android for Java Programmers
Автор: Abdul-Rahman Mawlood-Yunis
Издательство: Springer
Год: 2022
Формат: True PDF
Страниц: 657
Размер: 32,6 Mb
Язык: English
This textbook is about learning Android and developing native apps using the Java programming language. It follows Java and Object-Oriented (OO) programmers’ experiences and expectations and thus enables them to easily map Android concepts to familiar ones. | |
Разместил: vitvikvas 27-06-2022, 18:29 | Комментарии: 0 | Подробнее
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 Название: Вероятностное машинное обучение
Автор: Мэрфи К. П.
Издательство: ДMK
Год: 2022
Формат: True PDF
Страниц: 942
Размер: 84,3 Mb
Язык: Русский
Данный классический труд содержит обстоятельное современное введение в машинное обучение (включая глубокое обучение), рассматриваемое сквозь объединяющую призму вероятностного моделирования и байесовской теории принятия решений. Включен базовый математический аппарат (в т. ч. элементы линейной алгебры и теории оптимизации), основы обучения с учителем (включая линейную и логистическую регрессию и глубокие нейронные сети), а также более сложные темы (в т. ч. перенос обучения и обучение без учителя). Упражнения в конце глав помогут читателям применить полученные знания, а в приложении имеется сводка используемых обозначений | |
Разместил: vitvikvas 26-06-2022, 20:21 | Комментарии: 0 | Подробнее
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Название: App Design Apprentice (2nd Edition)
Автор: Prateek Prasad
Издательство: Razeware LLC
Год: 2022
Формат: pdf
Страниц: 291
Размер: 146 mb
Язык: Английский
This book guides you through designing modern mobile apps using fundamental design principles.
This book is for intermediate iOS and Android developers who already know the basics of mobile app development but want to also learn how to design apps with attractive and effective UI and UX. | |
Разместил: na5ballov 26-06-2022, 15:50 | Комментарии: 0 | Подробнее
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 Название: Applied Numerical Methods with Python for Engineers and Scientists
Автор: Steven C. Chapra, David E. Clough
Издательство: McGraw Hill LLC
Год: 2022
Формат: PDF
Страниц: 1474
Размер: 15,3 Mb
Язык: English
Applied Numerical Methods with Python , 1st Edition is written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so that students come away with insight into the techniques and their shortcomings. If you’ve ever used Applied Numerical Methods for MATLAB, you’ll find transitioning to this Python program seamless! No prior experience with Python is required.
McGraw Hill Connect, is available with this title. In addition to providing the MHeBook, Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, how they need it, so that class time is more effective. Connect enables professors to assign homework, quizzes, and tests easily and automatically grades and records the scores of the student's work. | |
Разместил: vitvikvas 26-06-2022, 13:30 | Комментарии: 0 | Подробнее
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 Название: C How to Program: With Case Studies in Applications and Systems Programming, 9th Edition, Global Edition
Автор: Paul and Harvey Deitel
Издательство: Pearson
Год: 2023
Формат: True PDF
Страниц: 832
Размер: 32,4 Mb
Язык: English
For courses in computerprogramming.
A user-friendly,code-intensive introduction to C programming with case studies introducingapplications and system programming
C How to Program is a comprehensive introduction toprogramming in C. Like other texts of the Deitels’ How to Program series,the book’s modular presentation serves as a detailed, beginner source ofinformation for college students looking to embark on a career in coding, orinstructors and software-development professionals seeking to learn how toprogram with C. The signature Deitel live-code approach presents concepts inthe context of 142 fully working programs rather than incomplete snips of code.This gives students a chance to run each program as they study it and see howtheir learning applies to real-world programming scenarios. | |
Разместил: vitvikvas 26-06-2022, 12:15 | Комментарии: 0 | Подробнее
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Название: Formal Methods for Software Engineering: Languages, Methods, Application Domains
Автор: Markus Roggenbach, Antonio Cerone, Bernd-Holger Schlingloff, Gerardo Schneider, Siraj Ahmed Shaikh
Издательство: Springer
Год: 2022
Страниц: 537
Размер: 10.3 МБ
Формат: PDF
Язык: English
Software programs are formal entities with precise meanings independent of their programmers, so the transition from ideas to programs necessarily involves a formalisation at some point. The first part of this graduate-level introduction to formal methods develops an understanding of what constitutes formal methods and what their place is in Software Engineering. | |
Разместил: ak5812 25-06-2022, 19:59 | Комментарии: 0 | Подробнее
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Название: The Python Book, Fourteenth Edition
Автор: Editorial Director Jon White
Издательство: Future Publishing
Год: 2022
Страниц: 180
Размер: 29.94 МБ
Формат: PDF
Язык: English
Python is an incredibly versatile, expansive language that, due to its similarity to everyday language, is surprisingly easy to learn even for inexperienced programmers. It has seen a huge increase in popularity since the release and rise of the Raspberry Pi, for which Python is the officially recognised programming language. In this new edition of The Python Book, you’ll find plenty of creative projects to help you get to grips with the combination of your Raspberry Pi and Python’s powerful functionality, plus lots of tutorials that focus on Python’s effectiveness away from the tiny computer. | |
Разместил: ak5812 24-06-2022, 21:13 | Комментарии: 0 | Подробнее
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 Название: The Oxford Handbook of Computational Linguistics (Oxford Handbooks), 2nd Edition
Автор: Ruslan Mitkov
Издательство: Oxford University Press
Год: 2022
Формат: PDF
Страниц: 1377
Размер: 48,5 Mb
Язык: English
Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. Alongside updated accounts of the topics covered in the first edition, it includes 17 new chapters on subjects such as semantic role-labelling, text-to-speech synthesis, translation technology, opinion mining and sentiment analysis, and the application of Natural Language Processing in educational and biomedical contexts, among many others.
The volume is divided into four parts that examine, respectively: the linguistic fundamentals of computational linguistics; the methods and resources used, such as statistical modelling, machine learning, and corpus annotation; key language processing tasks including text segmentation, anaphora resolution, and speech recognition; and the major applications of Natural Language Processing, from machine translation to author profiling. The book will be an essential reference for researchers and students in computational linguistics and Natural Language Processing, as well as those working in related industries. | |
Разместил: vitvikvas 24-06-2022, 02:48 | Комментарии: 0 | Подробнее
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Название: Implementing Useful Algorithms in C++
Автор: Dmytro Kedyk
Издательство: Independently published
Год: 2020
Страниц: 710
Размер: 94,54 МБ
Формат: PDF
Язык: English
Programmers use algorithms and data structures all the time, usually through numerous available APIs. Ideally an algorithm is correct, easy to understand, applicable to many problems, efficient, and free of intellectual property claims. This book covers algorithms and data structures learned in an algorithms class and many that aren't, including statistical algorithms, external memory algorithms, numerical methods, optimization, string algorithms, and data compression. | |
Разместил: ak5812 23-06-2022, 20:44 | Комментарии: 0 | Подробнее
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 Название: Probabilistic Machine Learning: An Introduction
Автор: Kevin P. Murphy
Издательство: The MIT Press
Год: 2022
Формат: PDF
Страниц: 854
Размер: 50,4 Mb
Язык: English
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers notation. | |
Разместил: vitvikvas 23-06-2022, 15:37 | Комментарии: 0 | Подробнее
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