Название: Programming Media Art Using Processing: A Beginner's Guide
Автор: Margaret Noble
Издательство: Chapman and Hall/CRC
Год: 2021
Формат: True PDF
Страниц: 248
Размер: 17.1 Mb
Язык: English

Programming Media Art Using Processing: A Beginner's Guide provides an entry-level exploration into visual design through computer programming using the open source and artist-friendly language, Processing. Used by hundreds of students, this learning system breaks lessons down into strategic steps towards fun and creative media art projects.

Название: Beyond the Worst-Case Analysis of Algorithms
Автор: Tim Roughgarden (Editor)
Издательство: Cambridge University Press
Год: 2021
Формат: True PDF
Страниц: 704
Размер: 10 Mb
Язык: English

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size.

Название: Beginning Rust: From Novice to Professional
Автор: Milanesi, Carlo
Издательство: Apress
Год: 2018
ISBN: 9781484234686
Формат: epub, pdf
Страниц: XVII, 376
Размер: 5,4 mb
Язык: English

Learn to program with the Rust programming language on Unix, Linux, MacOS, and Windows

Название: Street Coder: The rules to break and how to break them (MEAP Version 2)
Автор: Sedat Kapanoglu
Издательство: Manning Publications Co.
Год: 2020
Формат: True PDF
Страниц: 121
Размер: 13 Mb
Язык: English

Street Coder: Rules to break and how to break them is a guide for beginner programmers making their move from learner to developer. Written by self-taught pro Sedat Kapanoglu, it takes the best practices you learn in a computer science class and deconstructs them to show when they’re beneficial—and when they aren't! The easy-to-follow C# examples easily translate to any modern programming language.

Название: Rust in Action (MEAP Edition Version 10, 15)
Автор: Tim McNamara
Издательство: Manning Publications
Год: 2019-2020
Формат: true pdf, pdf/epub
Страниц: 330, 394
Размер: 13.2 Mb, 11 Mb
Язык: English

Rust in Action introduces the Rust programming language by exploring numerous systems programming concepts and techniques.You'll be learning Rust by delving into how computers work under the hood.

Название: Cloud Native Machine Learning (MEAP Version 5)
Автор: Carl M. Osipov
Издательство: Manning Publications
Год: 2020
Формат: True PDF
Страниц: 149
Размер: 14.9 Mb
Язык: English

Cloud Native Machine Learning is a guide to bringing your experimental machine learning code to production using serverless capabilities from major cloud providers. You’ll start with best practices for your datasets, learning to bring VACUUM data-quality principles to your projects, and ensure that your datasets can be reproducibly sampled. Next, you’ll learn to implement machine learning models with PyTorch, discovering how to scale up your models in the cloud and how to use PyTorch Lightning for distributed ML training. Finally, you’ll tune and engineer your serverless machine learning pipeline for scalability, elasticity, and ease of monitoring with the built-in notification tools of your cloud platform.

Название: Deep Learning with Structured Data (Final Edition)
Автор: Mark Ryan
Издательство: Manning Publications Co
Год: 2020
Формат: true pdf
Страниц: 266
Размер: 23.9 Mb
Язык: English

Deep Learning with Structured Data shows you how to bring powerful deep learning techniques to your business’s structured data to predict trends and unlock hidden insights. In it, deep learning advocate Mark Ryan takes you through cleaning and preparing structured data for deep learning. You’ll learn the architecture of a Keras deep learning model, along with techniques for training, deploying, and maintaining your model. You’ll discover ways to get quick wins that can rapidly show whether your models are working, and techniques for monitoring your model’s ongoing functionality.

Название: Classic Computer Science Problems in Java (Final Edition)
Автор: David Kopec
Издательство: Manning Publications Co
Год: 2020
Формат: true pdf
Страниц: 263
Размер: 10 Mb
Язык: English

Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. You’ll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you tackle examples for search algorithms, graph algorithms, neural networks, and more, you’ll see how cutting-edge fields like AI remain based in the core disciplines of computer science. With each new problem you crack, you’ll better understand the connections between classic computer science and the real-world challenges you face every day.

Название: Deep Learning Interviews: Hundreds of fully solved job interview questions from a wide range of key topics in AI
Автор: Shlomo Kashani
Издательство: Interviews AI
Год: 2020
Страниц: 438
Язык: английский
Формат: pdf, azw3, epub
Размер: 18.6 MB

Deep Learning Interviews is home to hundreds of fully-solved problems, from a wide range of key topics in AI. It is designed to both rehearse interview or exam specific topics and provide machine learning M.Sc./Ph.D. students, and those awaiting an interview a well-organized overview of the field. The problems it poses are tough enough to cut your teeth on and to dramatically improve your skills-but they’re framed within thought-provoking questions and engaging stories. Deep Learning expanded chapters appear alongside numerous in-depth treatments of topics in Deep Learning with code examples in PyTorch, Python and C++.

Название: A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics
Автор: Gayathri Rajagopalan
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 411
Размер: 12.2 Mb
Язык: English

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended.
This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python.