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Название: Machine Learning with Python: A Step by Step Guide to Learn Machine Learning with Python for Beginners
Автор: Brian Walker
Издательство: Independently published
Год: 2019
Страниц: 165
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

Do you want to learn about Machine Learning (ML)? Are you feeling left out in the rat race where everyone is brushing up on their knowledge in the fields of AI and machine learning? Are you on a time crunch and don’t have enough time or resources to take a formal course on machine learning? If the answer to any of the above questions is yes, then you have chosen the right book. Over the course of this book, you will gather information about what Machine Learning is, and the different techniques used in training a machine. You will also gather information about how you can build a machine learning model in Python.

Название: Computational Network Application Tools for Performance Management
Автор: Millie Pant, Tarun K. Sharma, Sebastian Basterrech
Издательство: Springer
Год: 2019 (2020 Edition)
Страниц: 269
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems

Название: Pattern Recognition and Computational Intelligence Techniques Using Matlab
Автор: E.S. Gopi
Издательство: Springer
Год: 2019 (2020 Edition)
Страниц: 263
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques.

Название: People Over Process: Leadership for Agility
Автор: Michael K. Levine
Издательство: Routledge/Productivity Press
Год: 2020
Страниц: 291
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book helps participants in agile software development environments learn to become leaders. Facilitative leaders should be at every level of the organization, from individual contributor to informal team leader to managers of all stripes – it takes much focus and intentionality from senior organizational leaders, who have special obligations in creating successful lean and agile development environments. But, beyond the principles of facilitative leadership for agility, People over Process provides tips and demonstrative scenes for the more important and common software meetings: architecture simulations, project planning, team configurations, retrospectives, and more. The author fully illustrates the principles and shares proven techniques for the most important leadership events in agile projects.

Название: Hybrid Computational Intelligence: Research and Applications
Автор: Siddhartha Bhattacharyya (Editor), Václav Snášel (Editor), Indrajit Pan (Editor), Debashis De (Editor)
Издательство: CRC Press
Год: 2019
Формат: true pdf
Страниц: 240
Размер: 26.2 Mb
Язык: English

Hybrid computational intelligent techniques are efficient in dealing with the real-world problems encountered in engineering fields. The primary objective of this book is to provide an exhaustive introduction as well as review of the hybrid computational intelligent paradigm, with supportive case studies. In addition, it aims to provide a gallery of engineering applications where this computing paradigm can be effectively use. Finally, it focuses on the recent quantum inspired hybrid intelligence to develop intelligent solutions for the future. The book also incorporates video demonstrations of each application for better understanding of the subject matter.

Название: React Succinctly
Автор: Samer Buna
Издательство: Syncfusion Inc.
Год: 2019
Формат: true pdf/epub
Страниц: 119
Размер: 2.9 Mb
Язык: English

React is one of the most popular jаvascript UI libraries in use today, providing a simple approach to creating stateful UI components that can be combined to create a complete web app. In React Succinctly by Samer Buna, you’ll learn the fundamental concepts of the React library, how the library fits in with modern jаvascript, and how to apply what you learn to create a simple interactive memory game. Buna also provides an interactive, web-based React playground for following along with the book’s code examples and exploring React features on your own.

Название: Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling First Edition
Автор: Javier Luraschi, Kevin Kuo, Edgar Ruiz
Издательство: O'Reilly Media
Год: 2019
Формат: epub
Страниц: 296
Размер: 15.4 Mb
Язык: English

If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.

Название: SQL Server 2019 Revealed: Including Big Data Clusters and Machine Learning
Автор: Bob Ward
Издательство: Apress
Год: 2019
Формат: true pdf/epub
Страниц: 421
Размер: 21.1 Mb
Язык: English

Get up to speed on the game-changing developments in SQL Server 2019. No longer just a database engine, SQL Server 2019 is cutting edge with support for machine learning (ML), big data analytics, Linux, containers, Kubernetes, Java, and data virtualization to Azure. This is not a book on traditional database administration for SQL Server. It focuses on all that is new for one of the most successful modernized data platforms in the industry. It is a book for data professionals who already know the fundamentals of SQL Server and want to up their game by building their skills in some of the hottest new areas in technology.
SQL Server 2019 Revealed begins with a look at the project's team goal to integrate the world of big data with SQL Server into a major product release. The book then dives into the details of key new capabilities in SQL Server 2019 using a “learn by example” approach for Intelligent Performance, security, mission-critical availability, and features for the modern developer. Also covered are enhancements to SQL Server 2019 for Linux and gain a comprehensive look at SQL Server using containers and Kubernetes clusters.

Название: .NET Microservices: Architecture for Containerized .NET Applications (v2.2.1 Edition)
Автор: Cesar de la Torre, Bill Wagner, Mike Rousos
Издательство: Microsoft Corporation
Год: 2019
Страниц: 331
Язык: английский
Формат: pdf (true), epub
Размер: 36.0 MB

Enterprises are increasingly realizing cost savings, solving deployment problems, and improving DevOps and production operations by using containers. Microsoft has been releasing container innovations for Windows and Linux by creating products like Azure Kubernetes Service and Azure Service Fabric, and by partnering with industry leaders like Docker, Mesosphere, and Kubernetes. These products deliver container solutions that help companies build and deploy applications at cloud speed and scale, whatever their choice of platform or tools.

Название: Mathematics for Machine Learning
Автор: Marc Peter Deisenroth, A. Aldo Faisal
Издательство: Cambridge University Press
Год: 2020
Страниц: 417
Язык: английский
Формат: pdf (true)
Размер: 16.3 MB

Machine learning is the latest in a long line of attempts to distill human knowledge and reasoning into a form that is suitable for constructing machines and engineering automated systems. As machine learning becomes more ubiquitous and its software packages become easier to use, it is natural and desirable that the low-level technical details are abstracted away and hidden from the practitioner. However, this brings with it the danger that a practitioner becomes unaware of the design decisions and, hence, the limits of machine learning algorithms.