|
 |
|
 |
|
|
 |
|  |
|
 Название: Python Programming: A Beginner's Guide To Become A Master Python Programmer Автор: Edward Frandsen Издательство: Edward Frandsen Год: 2021 Формат: AZW3, ePUB, PDF Страниц: 39 Для сайта: Mirknig.su Размер: 10 mb Язык: English
Would You Like to Know How to Automate Boring Stuff Quickly? Discover the Easiest Way to Learn Everything About Python and Machine Learning! Are you ready to embark on a great journey through the incredible world of Python and data science? |
Разместил: siburit 14-04-2021, 12:04 | Комментарии: 1 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: Kubernetes Security and Observability (Early Release) Автор: Alex Pollitt and Manish Sampat Издательство: O’Reilly Media Год: 2021-04-12: Second Release Формат: EPUB Страниц: 76 Размер: 10 Mb Язык: English
This practical book introduces new cloud native approaches for Kubernetes practitioners, like yourself, who care about the security and observability of mission-critical microservices. Through practical guidance and best practice recommendations, this book helps you understand why cloud native applications require a modern approach to security and observability practices and how to implement them. Do you want to know how to secure and troubleshoot your cloud native applications? Or are you part of a group that wants to solve security and observability challenges before fully adopting Kubernetes in your organization? This book takes you through the full breadth of new cloud native approaches for establishing security and observability with Kubernetes. |
Разместил: vitvikvas 14-04-2021, 06:47 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
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. |
Разместил: bomboane 14-04-2021, 00:49 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
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. |
Разместил: bomboane 13-04-2021, 13:29 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: 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. |
Разместил: Ingvar16 13-04-2021, 12:53 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
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. |
Разместил: bomboane 13-04-2021, 11:22 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
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. The introduction of the profound significance of the robots and delineation of the navigation and routing theme is provided in the first chapter of the book. |
Разместил: bomboane 13-04-2021, 05:30 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
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. |
Разместил: bomboane 13-04-2021, 04:55 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
Название: 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. |
Разместил: Ingvar16 12-04-2021, 17:58 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
 |
|
 |
|
|
 |
|  |
|
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. |
Разместил: vitvikvas 12-04-2021, 15:21 | Комментарии: 0 | Подробнее
| | | |
 |
|  |
br>
|