Название: Software Architecture in Practice, 4th Edition (Rough Cuts)
Автор: Len Bass, Paul Clements, Rick Kazman
Издательство: Pearson/Addison-Wesley
Год: 2021
Страниц: 864
Язык: английский
Формат: epub
Размер: 17.5 MB

The Definitive, Practical, Proven Guide to Architecting Modern Software--Now Fully Updated. Now with nine new chapters, Software Architecture in Practice, Fourth Edition, thoroughly explains what software architecture is, why it’s important, and how to design, instantiate, analyze, evolve, and manage it in disciplined and effective ways. Three renowned software architects cover the entire lifecycle, presenting practical guidance, expert methods, and tested models for use in any project, no matter how complex. You'll learn how to use architecture to address accelerating growth in requirements, system size, and abstraction, and to manage emergent quality attributes as systems are dynamically combined in new ways.

Название: Statistical Significance Testing for Natural Language Processing
Автор: Rotem Dror, Lotem Peled-Cohen
Издательство: Morgan & Claypool
Год: 2020
Страниц: 118
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include extensive experimental analysis, and the number of involved tasks, datasets, domains, and languages is constantly growing. This emphasis on empirical results highlights the role of statistical significance testing in NLP research: If we, as a community, rely on empirical evaluation to validate our hypotheses and reveal the correct language processing mechanisms, we better be sure that our results are not coincidental. The goal of this book is to discuss the main aspects of statistical significance testing in NLP. Our guiding assumption throughout the book is that the basic question NLP researchers and engineers deal with is whether or not one algorithm can be considered better than another one.

Название: Angular: Up and Running: Learning Angular, Step by Step
Автор: Shyam Seshadri
Издательство: O'Reilly Media
ISBN: 1491999837
Год: 2018
Страниц: 300
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.4 MB

This book will demystify Angular as a framework, as well as provide clear instructions and examples on how to get started with writing scalable Angular applications. Angular: Up & Running covers most of the major pieces of Angular, but in a structured manner that is generally used in hands-on training. Each chapter takes one concept, and use examples to cover how it works. Problems to work on (with solutions) at the end of each chapter reinforce the learnings of each chapter and allow readers to really get hands-on with Angular.

Название: Supercharge Power BI: Power BI is Better When You Learn To Write DAX, 3rd Edition
Автор: Matt Allington
Издательство: Holy Macro! Books
Год: 2021
Формат: EPUB
Страниц: 288
Размер: 24 Mb
Язык: English

Data analysis expressions (DAX) is the formula language of Power BI. Learning the DAX language is key to empower Power BI users so they can take advantage of these new Business Intelligence (BI) capabilities. This volume clearly explains the concepts of DAX while at the same time offering hands-on practice to engage the reader and help new knowledge stick. This third edition has been updated for the new Power BI Ribbon interface while still providing a bridge for readers wanting to learn DAX in the Power BI, Power Pivot, or Excel.

Название: Fundamentals of Music Processing: Using Python and Jupyter Notebooks, 2nd Edition
Автор: M. Muller
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 526
Размер: 112 Mb
Язык: English

The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology.

Название: Build Systems With Go: Everything a Gopher must know
Автор: Juan M. Tirado
Издательство: Independently published
Год: 2021-03-29 (v0.1.0)
Страниц: 366
Язык: английский
Формат: pdf, azw3, epub
Размер: 11.3 MB

Go was originally designed to simplify the building of complex systems. However, when a developer decides to learn Go most of the learning resources simply explain the language. This book goes one step further by exploring tools, libraries, and projects from the Go ecosystem you can use to build ready-for-production systems. Everything a Gopher must know in a single book. Do not stay in the basics, move forward and learn how you can use Go to build systems using restful APIs, gRPC messaging, powerful loggers, middlware, SQL/noSQL databases, data streaming, and more. A book written for new adopters and experienced developers.

Название: Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling
Автор: Ding-Geng Chen, Jenny K. Chen
Издательство: Springer
Год: 2021
Формат: true pdf/epub
Страниц: 239
Размер: 29.8 Mb
Язык: English

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distributed data, logistic regression for binomially distributed data, and Poisson regression and negative-binomial regression for count data. It then progresses to these regression models that work with longitudinal and multi-level data structures.

Название: Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch, , Second Edition
Автор: Nikhil Ketkar, Jojo Moolayil
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 316
Размер: 12 Mb
Язык: English

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook’s Artificial Intelligence Research Group.

Название: Practical Machine Learning for Streaming Data with Python: Design, Develop, and Validate Online Learning Models
Автор: by Sayan Putatunda
Издательство: Apress
Год: 2021
Формат: PDF, EPUB
Страниц: 127
Размер: 10 Mb
Язык: English

Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights.

Название: Digital Fluency: Understanding the Basics of Artificial Intelligence, Blockchain Technology, Quantum Computing
Автор: Volker Lang
Издательство: Apress
Год: 2021
Формат: PDF, EPUB
Страниц: 322
Размер: 11,6 Mb
Язык: English

If you are curious about the basics of artificial intelligence, blockchain technology, and quantum computing as key enablers for digital transformation and innovation, Digital Fluency is your handy guide. The real-world applications of these cutting-edge technologies are expanding rapidly, and your daily life will continue to be affected by each of them. There is no better time than now to get started and become digitally fluent.