LitMy.ru - литература в один клик

  • Добавил: buratino
  • Дата: 14-04-2021, 00:51
  • Комментариев: 0
Название: Introducing .NET for Apache Spark: Distributed Processing for Massive Datasets
Автор: Ed Elliott
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 269
Размер: 12.4 mb
Язык: English

Get started using Apache Spark via C# or F# and the .NET for Apache Spark bindings. This book is an introduction to both Apache Spark and the .NET bindings. Readers new to Apache Spark will get up to speed quickly using Spark for data processing tasks performed against large and very large datasets. You will learn how to combine your knowledge of .NET with Apache Spark to bring massive computing power to bear by distributed processing of extremely large datasets across multiple servers.
  • Добавил: buratino
  • Дата: 13-04-2021, 13:31
  • Комментариев: 0
Название: Graph-Powered Analytics and Machine Learning with TigerGraph (Early Release)
Автор: Victor Lee, Xinyu Chang & Gaurav Deshpande
Издательство: O’Reilly Media
Год: 2021-04-12
Формат: epub/pdf(cov.)
Размер: 13.6 Mb
Язык: English

With the rapid rise of graph databases, organizations are now implementing advanced analytics and machine learning solutions to help drive business outcomes. This practical guide shows data scientists, data engineers, architects, and business analysts how to get started with a graph database using TigerGraph, one of the leading graph database models available.
  • Добавил: literator
  • Дата: 13-04-2021, 12:56
  • Комментариев: 0
Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future TrendsНазвание: Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends
Автор: Khaled R. Ahmed, Aboul Ella Hassanien
Издательство: Springer
Год: 2021
Страниц: 264
Язык: английский
Формат: pdf (true), epub
Размер: 54.2 MB

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and Machine Learning approaches such as Big Data, Deep Learning and reinforcement learning. Deep Learning and Big Data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on Machine Learning methods and traditional relational database. Therefore, this book includes recent research works on Big Data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents.
  • Добавил: buratino
  • Дата: 13-04-2021, 11:24
  • Комментариев: 0
Название: An Introduction to IoT Analytics (Chapman & Hall/CRC Data Science Series)
Автор: Harry G. Perros
Издательство: Chapman & Hall/CRC Press
Год: 2021
Формат: True PDF/RTF
Страниц: 372
Размер: 10.8 Mb
Язык: English

This book covers techniques that can be used to analyze data from IoT sensors and addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so one can learn how to apply these tools in practice with a good understanding of their inner workings. This is an introductory book for readers who have no familiarity with these techniques.
  • Добавил: buratino
  • Дата: 13-04-2021, 05:31
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Название: Recent Advances in Robot Path Planning Algorithms: A Review of Theory and Experiment
Автор: Hadi Jahanshahi
Издательство: Nova Science Publishers
Год: 2020
Формат: True PDF
Страниц: 223
Размер: True PDF
Язык: English

The dominant theme of this book is to introduce the different path planning methods and present some of the most appropriate ones for robotic routing; methods that are capable of running on a variety of robots and are resistant to disturbances; being real-time, being autonomous, and the ability to identify high-risk areas and risk management are the other features that will be mentioned in the introduction of the methods.
  • Добавил: buratino
  • Дата: 13-04-2021, 04:58
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Название: Examining Fractal Image Processing and Analysis (Advances in Computational Intelligence and Robotics)
Автор: Soumya Ranjan Nayak (Author, Editor), Jibitesh Mishra (Editor)
Издательство: IGI Global
Год: 2020
Формат: True PDF
Страниц: 320
Размер: 12.7 Mb
Язык: English

Digital image processing is a field that is constantly improving. Gaining high-level understanding from digital images is a key requirement for computing. One aspect of study that is assisting with this advancement is fractal theory. This new science has gained momentum and popularity as it has become a key topic of research in the area of image analysis.
  • Добавил: literator
  • Дата: 12-04-2021, 18:01
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Mathematics with C Programming & Data StructuresНазвание: Mathematics with C Programming & Data Structures
Автор: Dr. Ramachandra Reddy Avula
Издательство: Independently published
Год: 2018
Страниц: 172
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

It is my heartfelt thankful to Mr. Dennis Richie for his invention of simple, powerful, beautiful and grateful programming language named “C”. C programming is the gateway of learning advanced programming languages. This textbook covers the content of Data types, Keywords, Statements, Control structures, Arrays, Strings, Structures, Unions, Functions, Pointers, Files, Graphs, Trees, Linear and Non-linear data structures. This textbook will gives the best knowledge to the readers on Flowcharts, Algorithms, Fundamentals, Data types, Programming skills of C programming language and data structures using “C”. This textbook is best to understand the programs because of line by line explanation using comments.
  • Добавил: Maurix
  • Дата: 12-04-2021, 15:22
  • Комментариев: 0
Название: Введение в структуры и алгоритмы обработки данных
Автор: Маер А.В., Черепанов О.С
Издательство: Курган: КГУ
Год: 2021
Формат: PDF
Страниц: 107
Размер: 10 Mb
Язык: Русский

Учебное пособие состоит из пяти глав. Целью учебного пособия является формирование начального представления о структурах данных и алгоритмах. В первой главе дается обзор математического аппарата, используемого при анализе алгоритмов. Во второй главе вводится понятие псевдокода. Третья глава посвящена основным структурам данных. В четвертой главе проводится анализ алгоритмов и выполняется их построение с помощью псевдокода. Пятая глава содержит набор заданий для выполнения учебных проектов.
  • Добавил: literator
  • Дата: 12-04-2021, 11:37
  • Комментариев: 0
Python Coding for Teens Learn to Code Course for Beginners: Introduction to Python Programming Language. Guide to Coding with 139 activities with answersНазвание: Python Coding for Teens Learn to Code Course for Beginners: Introduction to Python Programming Language. Guide to Coding with 139 activities with answers
Автор: Mark A. Morrison
Издательство: Independently published
Год: 2021
Страниц: 157
Язык: английский
Формат: epub
Размер: 10.1 MB

The best gift for Teens Girls and Boys and Adults. The book covers the most important elements of Python programming. It is mostly intended for young people, but it is also perfect for adults starting their adventure with programming. Our book is distinguished by the opportunity for the reader to solve tasks and problems independently. We have prepared as many as 139 interesting and challenging tasks. Solution to each task is provided at the end of the book, and the most difficult tasks are guided.
  • Добавил: Maurix
  • Дата: 12-04-2021, 09:22
  • Комментариев: 0
Название: Beginning HCL Programming: Using Hashicorp Language for Automation and Configuration
Автор: Pierluigi Riti, David Flynn
Издательство: Apress
Год: 2021
Формат: EPUB, PDF
Страниц: 194
Размер: 18 Mb
Язык: English

Get started with programming and using the Hashicorp Language (HCL). This book introduces you to the HCL syntax and its ecosystem then it shows you how to integrate it as part of an overall DevOps approach.
Next, you’ll learn how to implement infrastructure as code, specifically, using the Terraform template, a set of cloud infrastructure automation tools. As part of this discussion, you’ll cover Consul, a service mesh solution providing a full-featured control plane with service discovery, configuration, and segmentation functionality. You’ll integrate these with Vault to build HCL-based infrastructure as code solutions.