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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.

Название: Data Analysis with RStudio: An Easygoing Introduction
Автор: Franz Kronthaler, Silke Zollner
Издательство: Springer
Год: 2021
Страниц: 131
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

R is a powerful freely available open-source tool for analyzing data and creating graphs ready for publication. In just a few years, R has become the leading statistical software in science and is now becoming even more widespread in practice and in business. R can be used to analyze data and to generate knowledge for companies and institutions that they can include in their business decisions. The objective of the text is to introduce R - specifically RStudio - to students from different fields of study and to practitioners and enable them to use R in their everyday work.

Название: MATLAB Econometrics Toolbox User’s Guide
Автор: MathWorks, Inc.
Издательство: MathWorks, Inc.
Год: 2020
Страниц: 3400
Язык: английский
Формат: pdf (true)
Размер: 28.6 MB

Econometrics Toolbox provides functions for analyzing and modeling time series data. It offers a wide range of visualizations and diagnostics for model selection, including tests for autocorrelation and heteroscedasticity, unit roots and stationarity, cointegration, causality, and structural change. You can estimate, simulate, and forecast economic systems using a variety of modeling frameworks. These frameworks include regression, ARIMA, state-space, GARCH, multivariate VAR and VEC, and switching models. The toolbox also provides Bayesian tools for developing time-varying models that learn from new data.

Название: Selenium with Python Simplified For Beginners - Simple, Concise & Easy guide to Automation Testing using Python and Selenium WebDriver
Автор: S. Basu
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 115
Язык: английский
Формат: epub
Размер: 23.1 MB

This book is a beginner’s guide to automation testing using Python and Selenium WebDriver. I have explained all the topics in a simple, concise and easy language with thorough examples, codes and have tried my best to make the learning process fun, informative and interesting at the same time. If you want to gain an in-depth understanding, it is quite a simple book for the job. In addition, it is a good way to get started with learning Selenium with Python.

Название: Introduction to Modern Cryptography, 3rd Edition
Автор: Jonathan Katz, Yehuda Lindell
Издательство: CRC Press
Год: 2021
Страниц: 649
Язык: английский
Формат: pdf (true)
Размер: 17.3 MB

Now the most used texbook for introductory cryptography courses in both mathematics and computer science, the Third Edition builds upon previous editions by offering several new sections, topics, and exercises. The authors present the core principles of modern cryptography, with emphasis on formal definitions, rigorous proofs of security.