Название: Developing A React.js Edge : The jаvascript Library For User Interfaces, 2nd Edition
Автор: Richard Feldman, Frankie Bagnardi, Simon Højberg
Издательство: Bleeding Edge Press
Год: 2018
Страниц: 238
Язык: английский
Формат: epub
Размер: 10.17 MB

React is a jаvascript library developed internally at Facebook and open sourced in 2013 for building interactive user interfaces for the web. It introduces a new way to deal with the Browser’s DOM. Gone are the days of manually updating the DOM and laboriously keeping track of each piece of state that makes scalability and new feature development at best, a risky endeavor. Instead, React deals with the DOM in a very novel way. You declaratively define your user interface at any point in time. React removes the need to worry about which part of the DOM needs to update when data changes, and enables you to essentially re-render your entire application at any point in time with minimal DOM changes. To get the most out of this book you’ll need to be experienced with jаvascript and HTML. It’s beneficial if you have experience with writing SPAs (regardless of which framework like Backbone.js, AngularJS, or Ember.js), but it is not required.

Название: C++ Core Guidelines Explained: Best Practices for Modern C++ (Rough Cuts)
Автор: Rainer Grimm
Издательство:Addison-Wesley Professional/Pearson Education
Год: 2022
Страниц: 640
Язык: английский
Формат: epub
Размер: 17.8 MB

The official C++ Core Guidelines provide consistent best practices for writing outstanding modern C++ code, but they aren't organized for easy usage by working developers. In C++ Core Guidelines Explained, expert C++ instructor Rainer Grimm has distilled them to their essence, removing esoterica, sharing new insights and context, and presenting well-tested examples from his own training courses. C++ is, in particular for beginners, an inherently complex language. Mainly, because the problems we want to solve are inherently complicated and often complex as well. When you teach C++, you should provide a set of rules that work for your participants in at least 95% of all use-cases.

Название: Python One-Liners: Profi-Programmierung durch kurz gefasstes Python
Автор: Christian Mayer
Издательство: dpunkt.verlag GmbH
Год: 2021
Страниц: 248
Язык: немецкий
Формат: pdf (true), epub
Размер: 11,1 MB

Python in seiner raffiniertesten Form. Python One-Liners zeigt Ihnen, wie man »One Liners« – prägnante Ausdrücke zu nützlicher Funktionalität, verpackt in einer einzigen Codezeile – liest und schreibt. Sie lernen systematisch jede Zeile von Python-Code zu entschlüsseln und zu verstehen, und werden wie ein Experte eloquentes, stark komprimiertes Python schreiben. In den fünf Kapiteln des Buches werden Tipps und Tricks, reguläre Ausdrücke, Machine Learning, Kernthemen der Datenwissenschaft und hilfreiche Algorithmen behandelt.

Название: Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science
Автор: Stefan Riezler, Michael Hagmann
Издательство: Morgan & Claypool
Год: 2022
Страниц: 165
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Empirical methods are means to answering methodological questions of empirical sciences by statistical techniques. The methodological questions addressed in this book include the problems of validity, reliability, and significance. In the case of Machine Learning, these correspond to the questions of whether a model predicts what it purports to predict, whether a model's performance is consistent across replications, and whether a performance difference between two models is due to chance, respectively. The goal of this book is to answer these questions by concrete statistical tests that can be applied to assess validity, reliability, and significance of data annotation and Machine Learning (ML) prediction in the fields of natural language processing (NLP) and Data Science. This book can be used as an introduction to empirical methods for machine learning in general, with a special focus on applications in NLP and Data Science. The book is self-contained, with an appendix on the mathematical background on GAMs and LMEMs, and with an accompanying webpage including R code to replicate experiments presented in the book.

Название: Princeton Review AP Computer Science A Prep, 2022: 4 Practice Tests + Complete Content Review + Strategies & Techniques
Автор: Rob Franek (Editor-in-Chief)
Издательство: Princeton Review/Penguin Random House
Год: 2021 (2022 Edition)
Страниц: 432
Язык: английский
Формат: epub
Размер: 10.2 MB

Everything you need to score a perfect 5. Ace the 2022 AP Computer Science A Exam with this comprehensive study guide, which includes 4 full-length practice tests, thorough content reviews, targeted strategies for every section of the exam, and access to online extras.

Название: Medical Informatics and Bioimaging Using Artificial Intelligence: Challenges, Issues, Innovations and Recent Developments
Автор: Aboul Ella Hassanien, Roheet Bhatnagar, Vaclav Snasel
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 256
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book emphasizes the latest developments and achievements in artificial intelligence and related technologies, focusing on the applications of artificial intelligence and medical diagnosis. The book describes the theory, applications, concept visualization, and critical surveys covering most aspects of AI for medical informatics. Today, modern societies are witnessing increased usage of technology in almost every domain. Healthcare is one big domain where modern technologies bring a sea change and a paradigm shift in how healthcare is planned, administered, and implemented. Big Data, networking, graphical interfaces, data mining, Machine Learning, pattern recognition, and intelligent decision support systems are a few technologies and research areas currently contributing to medical informatics.

Название: Python Machine Learning For Beginners: Handbook For Machine Learning, Deep Learning And Neural Networks Using Python, Scikit-Learn And TensorFlow
Автор: Finn Sanders
Издательство: Data Science
Год: 2019
Страниц: 218
Язык: английский
Формат: pdf (true), epub
Размер: 10.18 MB

Do you want to learn the basics of Python programming quickly? If you have used a search engine, worked with photo recognition, or done speech recognition devices on your phone, then you have worked with Machine Learning. And if you combine it with the Python programming language, it is faster, more powerful, and easier (even for beginners) to create your own programs today. Python is considered the ultimate coding language for beginners, but once you start to use it, you will never be able to tell. Many of the best programs out there use this language behind them, and if you are a beginner who is ready to learn, this is a great place to start.

Название: Hands-On Machine Learning Recommender Systems with Apache Spark: Build a real Artificial Intelligence solution with real data
Автор: Ernesto Lee
Издательство: Consultants Network
Год: 2020
Страниц: 118
Язык: английский
Формат: pdf, epub
Размер: 12.1 MB

This book is intended to provide an introduction to recommender systems using Apache Spark and Machine Learning. Before we begin with recommender systems using Apache Spark, we define Big Data and Machine Learning. We then dive directly into our use case of building a recommender system with Apache Spark and Machine Learning by showing you how to build a recommender system - step by step. Apache Spark is an open source, fast and unified parallel large-scale data processing engine. It provides a framework for programming through distributed processing of large datasets at high speed. Spark supports most of the popular programming languages such as Java, Python, Scala and R. Spark is scalable, meaning, it can run on a single desktop machine or a laptop to a cluster of thousands of servers.

Название: Python Machine Learning for Beginners: The First Step-by-Step Guide for Beginners to Programming and Deep Learning with Python. Data Science, Artificial Intelligence Using Scikit-Learn
Автор: Andrew Johnson
Издательство: Amazon.com Services LLC
Год: 2019
Страниц: 433
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.3 MB

Pуthоn іѕ a hіgh-lеvеl ѕсrірtіng lаnguаgе. It іѕ easy tо learn аnd powerful thаn other lаnguаgеѕ bесаuѕе оf іtѕ dуnаmіс nаturе аnd ѕіmрlе ѕуntаx whісh allow small lines of code. Inсludеd indentation аnd object-oriented funсtіоnаl programming make іt ѕіmрlе. Suсh advantages of Pуthоn mаkеѕ it different from оthеr lаnguаgеѕ аnd that's whу Python іѕ рrеfеrrеd fоr dеvеlорmеnt in соmраnіеѕ mоѕtlу. In іnduѕtrіеѕ, machine learning uѕіng руthоn hаѕ bесоmе рорulаr. Thіѕ is bесаuѕе it hаѕ ѕtаndаrd libraries whісh are uѕеd fоr ѕсіеntіfіс аnd numеrісаl calculations. Alѕо, іt саn be operated оn Linux, Windows, Mас OS аnd UNIX. Lіbrаrіеѕ аrе аblе tо support mаnу ореrаtіоnѕ like Data Sсrаріng, NLP and оthеr аррlісаtіоnѕ оf Mасhіnе Learning. Duе tо such advantages аnd uѕеѕ, ѕtudеntѕ are рrеfеrrіng Pуthоn рrоgrаmmіng tutоrіаl rather thаn other lаnguаgеѕ.

Название: Modern Asynchronous jаvascript: Tackle Complex Async Tasks with Less Code
Автор: Faraz K. Kelhini
Издательство: Pragmatic Bookshelf
Год: December 2, 2021 (Version: P1.0)
Страниц: 112
Язык: английский
Формат: pdf, epub
Размер: 10.15 MB

jаvascript today must interact with data-intensive APIs and networks. The solution is a program that can work asynchronously instead of finishing tasks in order. In modern jаvascript, instead of callbacks you'll use promises to improve your application's performance and responsiveness. jаvascript features introduced in ES2020, ES2021, and ESNext like Promise.allSettled(), Promise.any(), and top-level await help you develop small, fast, low-profile applications. With the AbortController API, cancel a pending async request before it has completed. Modern Asynchronous jаvascript gives you an arsenal of tools to build programs that always respond to user requests, recover quickly from difficult conditions, and deliver maximum performance.