Название: Fundamentals of Optimization Theory With Applications to Machine Learning
Автор: Jean Gallier, Jocelyn Quaintance
Издательство: Jean Gallier
Год: 2019
Формат: PDF
Страниц: 832
Размер: 13 Mb
Язык: English

In recent years, computer vision, robotics, machine learning, and data science have been some of the key areas that have contributed to major advances in technology. Anyone who looks at papers or books in the above areas will be baffled by a strange jargon involving exotic terms such as kernel PCA, ridge regression, lasso regression, support vector machines (SVM), Lagrange multipliers, KKT conditions, etc.

Название: Calculated Surprises. A Philosophy of Computer Simulation
Автор: Johannes Lenhard
Издательство: Oxford University Press
Год: 2019
Формат: pdf
Страниц: 273
Размер: 14 Мб
Язык: английский

If all philosophy starts with wondering, then Calculated Surprises starts with wondering about how computers are changing the face and inner workings of science. In this book, Lenhard concentrates on the ways in which computers and simulation are transforming the established conception of mathematical modeling. His core thesis is that simulation modeling constitutes a new mode of mathematical modeling that rearranges and inverts key features of the established conception. Although most of these new key features--such as experimentation, exploration, or epistemic opacity--have their precursors, the new ways in which they are being combined is generating a distinctive style of scientific reasoning. Lenhard also documents how simulation is affecting fundamental concepts of solution, understanding, and validation. He feeds these transformations back into philosophy of science, thereby opening up new perspectives on longstanding oppositions.

Название: Neuromorphic Computing and Beyond. Parallel, Approximation, Near Memory, and Quantum
Автор: Mohamed Khaled Salah
Издательство: Springer
Год: 2020
Формат: pdf
Страниц: 241
Размер: 10 Мб
Язык: английский

Introduces in one volume all the trends that can be used to overcome Moore’s law limitations. Describes in detail Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing concepts, in a manner accessible to a wide variety of readers. Compares tradeoffs between the various paradigms discussed

Название: Algorithms Unplugged
Автор: Berthold Vocking, Helmut Alt, Martin Dietzfelbinger
Издательство: Springer
Год: 2011
Формат: pdf
Страниц: 417
Размер: 10.8 Мб
Язык: английский

Фундаментальный учебник по алгоритмам составленный коллективом профессоров ведущих университетов включает 41 главу распределенных по 4 разделам: поиск и сортировка, вычисления и шифрование, планирование и координация, оптимизация. Написан понятным языком, содержит псевдокод и множество пояснительных схем и иллюстраций.

Algorithms Unplugged presents some of the most beautiful algorithmic ideas in 41 articles written in colloquial, nontechnical language. Most of the articles arose out of an initiative among universities to communicate the fascination of algorithms and computer science to high-school students.

Название: Science of Selenium: Master Web UI Automation and Create Your Own Test Automation Framework
Автор: Kalilur Rahman
Издательство: BPB Publications
Год: 2019
Страниц: 407
Язык: английский
Формат: pdf (true)
Размер: 22.5 MB

Software Engineering has taken massive strides with a multitude of technology innovations. The book starts with a brief introduction to the world of automation and why it is important, succinctly covering the history of Selenium and the capabilities it offers. In this book, you will learn how to do simple Selenium-based automation with examples and understand the progressive complexity of some key features. Before diving deep into advanced concepts such as Page Object Models, Test Automation Framework and Cross Browser testing, you will grasp comprehensive knowledge of several concepts related to Java, Python, jаvascript and Ruby programming languages.

Название: Introducing Data Science: Big data, machine learning, and more, using Python tools
Автор: Davy Cielen, Arno D. B. Meysman, Mohamed Ali
Издательство: Manning Publications
Год: 2016
Формат: PDF
Страниц: 322
Размер: 14.59 МБ
Язык: English

Introducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You’ll explore data visualization, graph databases, the use of NoSQL, and the data science process. You’ll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale.

Название: Corda Developer Documentation Release Master
Автор: R3 Limited
Издательство: R3 Limited
Год: 2020
Формат: True PDF
Страниц: 649
Размер: 15.4 Mb
Язык: English

Welcome to Corda, a platform for building decentralized applications. This guidebook covers everything you need to know to create apps, run nodes and networks, and operate your new decentralized business network.

Название: Mastering Corda (Early Release)
Автор: Jamiel Sheikh
Издательство: O’Reilly Media
Год: 2020
Формат: EPUB
Страниц: 160
Размер: 11 Mb
Язык: English

Get a consistent, linear pathway for learning Corda and building CorDapps. With Mastering Corda, everyone from beginners to Corda warriors will learn how to build blockchain and Corda skills while exploring the nuances of developing real-world decentralized and distributed applications. You’ll learn Corda’s big picture and value proposition as well as its deeper intricacies.

Название: Deep Learning-Based Approaches for Sentiment Analysis
Автор: Basant Agarwal, Richi Nayak
Издательство: Springer
Серия: Algorithms for Intelligent Systems
Год: 2020
Страниц: 326
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

Название: A Beginner’s Guide to Image Shape Feature Extraction Techniques
Автор: Jyotismita Chaki, Nilanjan Dey
Издательство: CRC Press
Год: 2019
Формат: PDF
Страниц: 147
Размер: 11 Mb
Язык: English

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification. Focussing on a shape feature extraction technique used in content-based image retrieval (CBIR), it explains different applications of image shape features in the field of content-based image retrieval. Showcasing useful applications and illustrating examples in many interdisciplinary fields, the present book is aimed at researchers and graduate students in electrical engineering, data science, computer science, medicine, and machine learning including medical physics and information technology.