Learn IT - Books tags analytics

R and Data Mining: Examples and Case Studies

Academic Press, 2012

This book guides R users into data mining and helps data miners who use R in their work. It provides a how-to method using R for data mining applications from academia to industry. It

Presents an introduction into using R for data mining applications, covering most popular data mining techniques

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

O'Reilly, 2018

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

Advanced Microservices: A Hands-on Approach to Microservice Infrastructure and Tooling

Apress, 2017

Use the many types of tools required to navigate and maintain a microservice ecosystem. This book examines what is normally a complex system of interconnected services and clarifies them one at a time, first examining theoretical requirements then looking at concrete tools, configuration, and workflows.

Building out these systems...

Practical Data Science Cookbook - Second Edition

Packt Publishing, 2017

Over 85 recipes to help you complete real-world data science projects in R and Python

About This Book

Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data

Get beyond the theory and implement real-world projects in data science using...

Elasticsearch: A Complete Guide

Packt Publishing, 2017

End-to-end Search and Analytics

About This Book

Solve your data analytics problems with the Elastic Stack

Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins

Design your index, configure it, and distribute it â you'll...

Internet of Things and Data Analytics Handbook

John Wiley & Sons, 2017

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing...

Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Packt Publishing, 2017

Key Features

This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way

Work with different types of datasets, and reshape the layout of your data to make it easier for analysis

Get simple examples and real-life data...

Scalable Big Data Architecture: A practitioners guide to choosing relevant Big Data architecture

Apress, 2015

This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance.

Scalable Big Data Architecture covers real-world,...

DevOps for Digital Leaders: Reignite Business with a Modern DevOps-Enabled Software Factory

Apress, 2016

Learn to design, implement, measure, and improve DevOps programs that are tailored to your organization. This concise guide assists leaders who are accountable for the rapid development of high-quality software applications.

In DevOps for Digital Leaders, deep collective experience on both...

The Design Thinking Playbook: Mindful Digital Transformation of Teams, Products, Services, Businesses and Ecosystems

John Wiley & Sons, 2018

A radical shift in perspective to transform your organization to become more innovative

The Design Thinking Playbook is an actionable guide to the future of business. By stepping back and questioning the current mindset, the faults of the status quo stand out in stark relief—and this guide gives you the tools...

Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices

Packt Publishing, 2017

Break through the hype and learn how to extract actionable intelligence from the flood of IoT data

Key Features

Make better business decisions and acquire greater control of your IoT infrastructure

Learn techniques to solve unique problems associated with IoT and examine and analyze data...

Beginning SQL Server R Services: Analytics for Data Scientists

Andrei Besedin, 2016

Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an...

Result Page: 32 31 30 29 28 27 26 25 24 23