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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.

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.

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.

Название: Modeling and Python Simulation of Magnetics for Power Electronics Applications
Автор: Shivkumar V. Iyer
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 220
Размер: 10 Mb
Язык: English

This book describes the role of magnetism in electrical engineering, starting from the most basic laws of physics, converted into simulation models such that electrical engineering students can learn by example and practice. The author demystifies a topic that many electrical engineers take for granted, providing readers the tools to be able to understand how any magnetic component works. He describes magnetic components like inductors and transformers in simple understandable language. Mathematical equations related to the basic laws of physics are described in detail along with the physical significance of the equations. Every application is supported by a simulation. All simulations are performed using free and open source software based on Python making the material in this book universally accessible.

Название: Django for APIs: Build web APIs with Python and Django 4.0
Автор: William S. Vincent
Издательство: Leanpub
Год: 2022
Формат: True PDF, ePUB
Страниц: 200
Размер: 15 Mb
Язык: English

Completely updated for Django 4.0 & Django REST Framework 3.13
Django for APIs is a project-based guide to building modern web APIs with Django & Django REST Framework. It is suitable for beginners who have never built an API before as well as professional programmers looking for a fast-paced introduction to Django fundamentals and best practices.

Название: Django for Beginners Build websites with Python & Django 4.0
Автор: William S. Vincent
Издательство: Leanpub
Год: 2022
Формат: True PDF, ePUB
Страниц: 306
Размер: 22 Mb
Язык: English

Completely updated for Django 4.0.
Django for Beginners is a project-based introduction to Django, the popular Python-based web framework. Suitable for total beginners who have never built a website before as well as professional programmers looking for a fast-paced guide to modern web development and Django fundamentals.

Название: Django for Professionals: Production websites with Python & Django 4.0
Автор: William S. Vincent
Издательство: Leanpub
Год: 2022
Формат: True PDF, ePUB
Страниц: 303
Размер: 20,8 Mb
Язык: English

Completely updated for Django 4.0!
Django for Professionals takes your web development skills to the next level, teaching you how to build production-ready websites with Python and Django.
Once you have learned the basics of Django there is a massive gap between building simple "toy apps" and what it takes to build a "production-ready" web application suitable for deployment to thousands or even millions of users.

Название: Go: идиомы и паттерны проектирования
Автор: Боднер Д.
Издательство: Питep
Год: 2022
Формат: True PDF
Страниц: 414
Размер: 10 Mb
Язык: Русский

Go быстро набирает популярность в качестве языка для создания веб-сервисов. Существует множество учебников по синтаксису Go, но знать его недостаточно. Автор Джон Боднер описывает и объясняет паттерны проектирования, используемые опытными разработчиками. В книге собрана наиболее важная информация, необходимая для написания чистого и идиоматического Go-кода. Вы научитесь думать как Go-разработчик, вне зависимости от предыдущего опыта программирования.

Название: Automated Deep Learning Using Neural Network Intelligence: Develop and Design PyTorch and TensorFlow Models Using Python
Автор: Ivan Gridin
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 395
Размер: 11,6 Mb
Язык: English

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.
The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-parameter optimization tasks. You will understand the black-box function maximization problem using NNI, and know how to prepare a TensorFlow or PyTorch model for hyper-parameter tuning, launch an experiment, and interpret the results.

Название: MATLAB Text Analytics Toolbox User's Guide
Автор: The MathWorks, Inc
Издательство: The MathWorks, Inc
Год: 2022
Формат: PDF
Страниц: 322
Размер: 10 Mb
Язык: English

Text Analytics Toolbox™ provides algorithms and visualizations for preprocessing, analyzing, and modeling text data. Models created with the toolbox can be used in applications such as sentiment analysis, predictive maintenance, and topic modeling.
Text Analytics Toolbox includes tools for processing raw text from sources such as equipment logs, news feeds, surveys, operator reports, and social media. You can extract text from popular file formats, preprocess raw text, extract individual words, convert text into numerical representations, and build statistical models.