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Название: Machine Learning for Beginners: An Introductory Guide to Learn and Understand Artificial Intelligence, Neural Networks and Machine Learning
Автор: James Deep
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 135
Язык: английский
Формат: pdf, rtf
Размер: 10.18 MB

Curious about the world of Machine Learning? Would you like to explore its features? If yes, then keep reading. Machine Learning is defined as the ability of algorithms to work efficiently without explicit programming. This book dives deep in analyzing the types, models, and applications of Machine Learning algorithms, using a tremendous comparative analysis approach. It sets the tone on pointing out the close relationship between the subsects of Artificial Intelligence and Machine Learning. The book also bears in mind the importance of data in Machine Learning by explaining the terminologies used about and the process of Data Mining.

Название: Machine Learning for Business: Using Amazon SageMaker and Jupyter
Автор: Doug Hudgeon, Richard Nichol
Издательство: Manning Publications
Год: 2020
Формат: PDF
Страниц: 282
Размер: 16,6 Mb
Язык: English

Imagine predicting which customers are thinking about switching to a competitor or flagging potential process failures before they happen. Think about the benefits of forecasting tedious business processes and back-office tasks. Consider the competitive advantage of making decisions when you know the most likely future events.

Название: Web Development with ReasonML: Type-Safe, Functional Programming for jаvascript Developers
Автор: J. David Eisenberg
Издательство: Pragmatic Bookshelf
Год: 2019
Формат: true pdf/epub
Страниц: 208
Размер: 12 Mb
Язык: English

ReasonML is a new, type-safe, functional language that compiles to efficient, readable jаvascript. ReasonML interoperates with existing jаvascript libraries and works especially well with React, one of the most popular front-end frameworks. Learn how to take advantage of the power of a functional language while keeping the flexibility of the whole jаvascript ecosystem. Move beyond theory and get things done faster and more reliably with ReasonML today.

Название: Python Machine Learning: A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras
Автор: Josh Hugh Learning
Издательство: Independently published
Год: 2019
Страниц: 177
Язык: английский
Формат: pdf, rtf
Размер: 10.15 MB

Are you Interested in Learning Some of the Best Machine Learning Algorithms that Will Help you to See Some Amazing Results and Actually be Able to sort Through your Data? This guidebook is going to take some time to look at how to handle working with a Python machine learning project. We will explore all of the different parts that need to come with this, including some of the different algorithms that we are able to explore and use to help sort some of our data. This is a crucial step before diving further into machine learning with Python as this will give you a bird’s eye view of what possible algorithm to use and what is best suited for your situation and what you want to do with the findings.

Название: Spring Microservices in Action
Автор: John Carnell
Издательство: Manning Publications
ISBN: 1617293989
Год: 2017
Страниц: 375
Язык: English
Формат: True PDF
Размер: 11 MB

Spring Microservices in Action was written for the practicing Java/Spring developer who needs hands-on advice and examples of how to build and operationalize microservice-based applications. When I wrote this book, I wanted it to be based around core microservice patterns that aligned with Spring Boot and Spring Cloud examples that demonstrated the patterns in action. As such, you’ll find specific microservice design patterns discussed in almost every chapter, along with examples of the patterns implemented using Spring Boot and Spring Cloud. Microservices break up your code into small, distributed, and independent services that require careful forethought and design. Fortunately, Spring Boot and Spring Cloud simplify your microservice applications, just as the Spring Framework simplifies enterprise Java development.

Название: The Little Book of Algorithms
Автор: William Lau
Издательство: Nielsen
Год: 2019
Язык: английский
Формат: pdf, djvu
Размер: 10.1 MB

This book is designed to help those learning and teaching Computer Science. The aim of the book is to help students build fluency in their Python programming. The book would suit students who have already been introduced to the three basic programming constructs of structured programming, namely sequence, selection and iteration. The learning curve for programming can be quite steep and this book aims to ease this transition by encouraging practise and gradually introducing more complex concepts such as lists and 2D lists, file writing and using procedures and functions.

Название: Learn Python: The Ultimate Beginner’s Guide to Python for Machine Learning and Deep Learning Using Scikit-learn and Tensorflow with Hands-On Projects
Автор: Zed Fast
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 128
Язык: английский
Формат: pdf, rtf
Размер: 10.1 MB

If you want to learn Machine Learning algorithms from scratch then read more. Artificial Intelligence (AI) is everywhere. You are certainly using it every day. One of the popular applications of it is Machine Learning (ML), in which computers, software, and devices perform via cognition similarly to human brain. Machine Learning is an important part of personal assistant like Siri, Alexa, Google Now or search engine results or traffic predictions and much more. With this book you will learn fundamentals of Machine Learning, the underlying challenges with example from open source data sets that you can easily access and get your hands dirty.

Название: Enterprise Java Microservices
Автор: Ken Finnigan
Издательство: Manning Publications
Год: 2018
Страниц: 272
Формат: True PDF/EPUB/code
Размер: 11 Mb
Язык: English

Enterprise Java Microservices is an example-rich tutorial that shows how to design and manage large-scale Java applications as a collection of microservices.
Large applications are easier to develop and maintain when you build them from small, simple components. Java developers now enjoy a wide range of tools that support microservices application development, including right-sized app servers, open source frameworks, and well-defined patterns. Best of all, you can build microservices applications using your existing Java skills.

Название: Machine Learning Systems: Designs that scale
Автор: Jeff Smith
Издательство: Manning Publications
Год: 2018
Страниц: 224
Формат: True PDF
Размер: 10 Mb
Язык: English

Machine Learning Systems: Designs that scale is an example-rich guide that teaches you how to implement reactive design solutions in your machine learning systems to make them as reliable as a well-built web app.

Название: Geocomputation with R
Автор: Robin Lovelace, Jakub Nowosad, Jannes Muenchow
Издательство: Chapman and Hall/CRC
Серия: The R Series
Год: 2019
Страниц: 354
Язык: английский
Формат: pdf (true)
Размер: 46.3 MB

Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.