Название: Python Machine Learning: Understand Python Libraries (Keras, NumPy, Scikit-lear, TensorFlow) for Implementing Machine Learning Models in Order to Build Intelligent Systems
Автор: Ethem Mining
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 207
Язык: английский
Формат: pdf, rtf
Размер: 10.1 MB

Do you want to learn how to apply efficiently your Python knowledge to implement learning models? Do you want to understand which ones are the best libraries to use and why is Python considered the best language for Machine Learning (ML)? What do you need to learn to move from being a complete beginner to someone with advanced knowledge of Machine Learning? Tech is slowly moving towards high-level automation, robotics, Machine Learning, Artificial Intelligence (AI), Big Data and other high level computing concepts. That’s why self-driving cars, customized product recommendations, real time pricing, facial recognition, retargeting ads, geo-targeting, using bots for customer service and much more is a thing these days.

Название: Inclusive Design for a Digital World: Designing with Accessibility in Mind
Автор: Regine M. Gilbert
Издательство: Apress
Год: 2020
Страниц: 291
Язык: английский
Формат: pdf (true), epub
Размер: 15.4 MB

What is inclusive design? It is simple. It means that your product has been created with the intention of being accessible to as many different users as possible. For a long time, the concept of accessibility has been limited in terms of only defining physical spaces. However, change is afoot: personal technology now plays a part in the everyday lives of most of us, and thus it is a responsibility for designers of apps, web pages, and more public-facing tech products to make them accessible to all. Our digital era brings progressive ideas and paradigm shifts – but they are only truly progressive if everybody can participate.

Название: Object Design Style Guide (MEAP Edition)
Автор: Matthias Noback
Издательство: Manning Publications
Год: 2019
Формат: true pdf/epub/mobi/azw3
Страниц: 292
Размер: 10 Mb
Язык: English

Objects are the central concept of languages like Java, Python, C#. Applying best practices for object design means that your code will be easy to read, write, and maintain. Object Design Style Guide captures dozens of techniques for creating pro-quality OO code that can stand the test of time. Examples are in an instantly-familiar pseudocode, teaching techniques you can apply to any OO language, from C++ to PHP.

Название: Algorithms and Data Structures in Action (MEAP Edition)
Автор: Marcello La Rocca
Издательство: Manning Publications
Год: 2019
Формат: True PDF/ePub
Страниц: 286
Размер: 17.6 Mb
Язык: English

As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Algorithms and Data Structures in Action teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.

Название: Unit Testing Principles, Practices, and Patterns (MEAP Edition)
Автор: Vladimir Khorikov
Издательство: Manning Publications
Год: 2019
Формат: True PDF/ePub/MOBI
Страниц: 288
Размер: 10.3 mb
Язык: English

Unit Testing Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You’ll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing.

Название: Python for Data Analysis: A Step By Step Guide to Master the Basics of Data Analysis in Python Using Pandas, Numpy And Ipython
Автор: Andrew Park
Издательство: Amazon Digital Services LLC
Год: 2019
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading. Everyone talks about data today. You have probably come across the term “data” more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future.

Название: Data Science with Python and Dask
Автор: Jesse C. Daniel
Издательство: Manning Publications
Год: 2019
Формат: EPUB, PDF
Страниц: 296
Для сайта: litmy.ru
Размер: 38,4 Mb
Язык: English

Data Science with Python and Dask teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the NYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker.

Название: Coding: 3 books in 1 : "Learn Python coding and programming book 1 & 2 + Linux for Beginners"
Автор: Michael Clark
Издательство: Amazon Digital Services LLC
Год: 2019
Формат: PDF
Страниц: 416
Размер: 10,5 Mb
Язык: English

Do you want to learn Python Programming

Название: Learn Python: Crash Course to Learn Algorithms Just By Doing Some Practice. It Will Really Help Your Career Out
Автор: Tim Wired
Издательство: Amazon Digital Services LLC
Год: 2019
Формат: PDF, EPUB
Страниц: 146
Размер: 11 Mb
Язык: English

GROW YOUR INCOME WHILE LEARNING A COMPUTER LANGUAGE…
“LEARN PYTHON” – the name of our new book and of the most popular computer programming languages in the world. It’s a complete guide for beginners and more advanced programmers to expand their knowledge on Python language and how it can be used for Machine Learning.

Название: Practical Data Science with R, 2nd Edition
Автор: Nina Zumel, John Mount
Издательство: Manning Publications
Год: 2020
Страниц: 568
Язык: английский
Формат: pdf (true)
Размер: 24.2 MB

Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you'll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you'll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations.