Название: Random Matrix Methods for Machine Learning
Автор: Romain Couillet, Zhenyu Liao,
Издательство: Cambridge University Press
Год: 2022
Страниц: 411
Размер: 10,62 МБ
Формат: PDF
Язык: English

This book presents a unified theory of random matrices for applications in machine learning, offering a large-dimensional data vision that exploits concentration and universality phenomena. This enables a precise understanding, and possible improvements, of the core mechanisms at play in real-world machine learning algorithms.

Название: Practical Machine Learning with Spark
Автор: Gourav Gupta, Dr. Manish Gupta, Dr. Inder Singh Gupta
Издательство: BPB Publications
Год: 2022
Формат: PDF
Страниц: 554
Размер: 18 Mb
Язык: English

This book provides the reader with an up-to-date explanation of Machine Learning and an in-depth, comprehensive, and straightforward understanding of the architectural techniques used to evaluate and anticipate the futuristic insights of data using Apache Spark.

Название: Network Programming in Python
Автор: John Galbraith
Издательство: BPB Publications
Год: 2022
Формат: PDF
Страниц: 544
Размер: 10 Mb
Язык: English

This book includes revisions for Python 3 as well as all of the classic topics covered, such as network protocols, network data and errors, email, server architecture, and HTTP and web applications.

Название: Productive and Efficient Data Science with Python
Автор: Dr. Tirthajyoti Sarkar
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 395
Размер: 18,8 Mb
Язык: English

This book focuses on the Python-based tools and techniques to help you become highly productive at all aspects of typical data science stacks such as statistical analysis, visualization, model selection, and feature engineering.
You’ll review the inefficiencies and bottlenecks lurking in the daily business process and solve them with practical solutions. Automation of repetitive data science tasks is a key mindset that is promoted throughout the book. You’ll learn how to extend the existing coding practice to handle larger datasets with high efficiency with the help of advanced libraries and packages that already exist in the Python ecosystem.

Название: Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist 2nd Edition
Автор: Thomas Mailund
Издательство: Apress
Год: 2022
Формат: True PDF
Страниц: 528
Размер: 11 Mb
Язык: English

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R.

Название: DevOps in Python: Infrastructure as Python, 2nd Edition
Автор: Moshe Zadka
Издательство: Apress
Год: 2022
Формат: True PDF, ePUB
Страниц: 245
Размер: 10 Mb
Язык: English

Take advantage of Python to automate complex systems with readable code. This new edition will help you move from operations/system administration into easy-to-learn coding.
You'll start by writing command-line scripts and automating simple DevOps-style tasks followed by creating reliable and fast unit tests designed to avoid incidents caused by buggy automation. You’ll then move on to more advanced cases, like using Jupyter as an auditable remote-control panel and writing Ansible and Salt extensions.

Название: Network Programming with Go Language 2nd Edition
Автор: Dr. Jan Newmarch, Ronald Petty
Издательство: Apress
Год: 2022
Формат: True PDF, ePUB
Страниц: 386
Размер: 10 Mb
Язык: English

Dive into key topics in network architecture implemented with the Google-backed open source Go programming language. Networking topics such as data serialization, application level protocols, character sets and encodings are discussed and demonstrated in Go. This book has been updated to the Go version 1.18 which includes modules, generics, and fuzzing along with updated and additional examples.

Название: Regression Analysis in R A Comprehensive View for the Social Sciences
Автор: Jocelyn H. Bolin
Издательство: CRC Press
Год: 2022
Формат: True PDF
Страниц: 193
Размер: 10 Mb
Язык: English

Regression Analysis in R: A Comprehensive View for the Social Sciences covers the basic applications of multiple linear regression all the way through to more complex regression applications and extensions. Written for graduate level students of social science disciplines this book walks readers through bivariate correlation giving them a solid framework from which to expand into more complicated regression models. Concepts are demonstrated using R software and real data examples.

Название: Math for Deep Learning
Автор: Ronald T. Kneusel
Издательство: No Starch Press
Год: 2022
Формат: True PDF
Страниц: 347
Размер: 10 Mb
Язык: English

You’ll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential calculus, and matrix calculus as well as how to implement data flow in a neural network, backpropagation, and gradient descent. You’ll also use Python to work through the mathematics that underlies those algorithms and even build a fully-functional neural network.

Название: Python. Чистый код для продолжающих
Автор: Свейгарт Эл
Издательство: Питep
Год: 2022
Формат: True PDF
Страниц: 384
Размер: 10 Mb
Язык: Русский

"Python. Чистый код для продолжающих" - это не набор полезных советов и подсказок по написанию чистого кода. Вы узнаете о командной строке и других инструментах профессионального разработчика: средствах форматирования кода, статических анализаторах и контроле версий. Вы научитесь настраивать среду разработки, давать имена переменным и функциям, делающие код удобочитаемым, грамотно комментировать и документировать ПО, оценивать быстродействие программ и сложность алгоритмов, познакомитесь с ООП.
Такие навыки поднимут вашу ценность как программиста не только в Python, но и в любом другом языке.