Название: Easily: Practical Machine Learning Algorithms with Python
Автор: Darrin Thomas
Издательство: SuJinSoLa
Год: 2020
Страниц: 169
Язык: английский
Формат: pdf, epub
Размер: 11.7 MB

Python is a highly popular language used in programming that has ca large influence in the field of data science. In this text, Darrin Thomas presents various ways to use Python for model development in the context of machine learning. Being able to comprehend the use of Python for data science is a valuable skill for anyone who must deal with data on a regular basis. One assumption of this text is that the readers is already familiar with Python and that they are able to comprehend and interpret the code in the examples.

Название: Deep Learning With Python: Advanced and Effective Strategies of Using Deep Learning with Python Theories
Автор: Ethan Williams
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF, EPUB
Страниц: 181
Размер: 10 Mb
Язык: English

This book discusses the intricacies of the internal workings of a deep learning model. It addresses the techniques and methods that can not only boost the productivity of your machine learning architectural skills, but also introduces new concepts. Implemented correctly, these can set your deep learning modela league apart from all other models.

Название: Mastering Hyperledger Fabric: Master The Art of Hyperledger Fabric on Kubernetes
Автор: Narendranath Reddy Thota
Издательство: Amazon KDP
Год: 2020
Страниц: 262
Язык: английский
Формат: pdf, epub
Размер: 29.8 MB

This Book benefits Software Engineers who are ready to shift their focus to distributed technologies and Blockchain. This book provides a comprehensive view of Solution Architecture, so it will be easy for architects to architect their solution. CTO’s around the world want to add hyperledger fabric to their technology stack. Managers to cope up with the latest trend. Faculty Professors in order to get industry insights. Even Engineering Students who want to be ready with the latest technologies.

Название: High Performance Computing in Science and Engineering ?16
Автор: Wolfgang E. Nagel, Dietmar H. Kr?ner
Издательство: Springer
Год: 2017
Формат: PDF
Размер: 45 Мб
Язык: английский / English

This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2016. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance.

Название: Software Testing: A Self-Teaching Introduction
Автор: R. Chopra
Издательство: Mercury Learning and Information
Год: 2018
Формат: true pdf, epub
Страниц: 660
Размер: 16.2 Mb, 21.6 Mb
Язык: English

This overview of software testing in a “self-teaching” format contains easy-to- understand chapters with tips and insights about software testing, its basic concepts, applications, and practical case studies. It includes numerous, end-of-chapter questions with answers to test your knowledge and reinforce mastery of the concepts being presented.

Название: Python for Absolute Beginners: Learn How to Develop Applications from scratch with Python Programming Language With Scipy, NumPy, and Matplotlib
Автор: Josh Davison
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

Are you ready to start your path to becoming a Data Scientist! This comprehensive book will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Название: Machine Learning For Beginners: Complete AI for Beginners with Real-world Business Applications
Автор: Declan Mellor
Издательство: Amazon.com Services LLC
Год: 2020
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

Interested in the field of Artificial Intelligent (AI)? Then this book is for you! This book has been designed to learn complex theory, algorithms and coding libraries in a simple way. We will walk you step-by-step into the World of AI. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science. This guide is fun and exciting, but at the same time we dive deep into different aspects of AI.

Название: Flow Architectures: The Future of Streaming and Event-Driven Integration (Early Release)
Автор: James Urquhart
Издательство: O’Reilly Media, Inc.
Год: 2020
Язык: английский
Формат: pdf (conv), rtf, epub
Размер: 10.1 MB

Dominated by streaming data and events, the next generation of software development optimizes not only how technology interacts but also how businesses integrate with one another to meet customer needs. This phenomenon, called flow, consists of patterns and standards that determine which activity and related data is communicated between parties over the internet.

Название: Kubernetes: Build and Deploy Modern Applications in a Scalable Infrastructure. The Complete Guide to the Most Modern Scalable Software Infrastructure
Автор: Jordan Lioy
Издательство: Amazon.com Services LLC
Год: 2020
Формат: PDF, EPUB
Страниц: 312
Размер: 10 Mb
Язык: English

If you want to learn how to build modern, scalable software with Kubernetes, then this book is for you.
Kubernetes is an open-source, efficient platform to host your applications in a safe and scalable environment.
With Kubernetes by Jordan Lioy you will learn all you need to start working with Kubernetes, from zero to advanced topics

Название: Fundamentals of Artificial Intelligence
Автор: K.R. Chowdhary
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 730
Размер: 24.4 Mb
Язык: English

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments.