Learn IT - Books tags decision

Big Data Visualization

Packt Publishing, 2017

Learn effective tools and techniques to separate big data into manageable and logical components for efficient data visualization About This Book This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book...

Mastering .NET Machine Learning

Packt Publishing, 2016

About This Book

Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0

Set up your business application to start using machine learning techniques

Familiarize the user with some of the more common .NET libraries for machine learning

Implement...

JavaScript Absolute Beginner's Guide

Que, 2016

JavaScript Absolute Beginner's Guide

No experience necessary!

Make the most of JavaScript -- even if you've never programmed anything before. This book is the fastest way to learn JavaScript and use it...

Visual Six Sigma: Making Data Analysis Lean (Wiley and SAS Business Series)

John Wiley & Sons, 2016

Streamline data analysis with an intuitive, visual Six Sigma strategy

Visual Six Sigma provides the statistical techniques that help you get more information from your data. A unique emphasis on the visual allows you to take a more active role in data-driven decision making, so you can leverage your contextual...

Big Data Analytics Made Easy

Notion Press, 2016

Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R. Even if you are a novice in Big Data Analytics, you will still be able to understand the concepts explained in this book. If you are already working in Analytics and dealing with Big...

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

O'Reilly, 2017

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Global Networking, Communication and Culture: Conflict or Convergence?: Spread of ICT, Internet Governance, Superorganism Humanity and Global Culture (Studies in Systems, Decision and Control)

Springer, 2018

Pursuing an interdisciplinary approach, this book offers detailed insights into the empirical relationships between overall social key figures of states and cultures in the fields of information and communication technology (ICT) (digital divide/inequality), the economy, education and religion. Its goal is to bridge the ‘cultural...

Introduction to Machine Learning with R: Rigorous Mathematical Analysis

O'Reilly, 2018

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you’ll first start to learn with regression modelling and then move into more...

Learning ArcGIS for Desktop

Packt Publishing, 2016

Create, analyze, and map your spatial data with ArcGIS for Desktop

About This Book

Learn how to use ArcGIS for Desktop to create and manage geographic data, perform vector and raster analysis, design maps, and share your results

Solve real-world problems and share your...

Python: Data Analytics and Visualization

Packt Publishing, 2017

Understand, evaluate, and visualize data About This Book - Learn basic steps of data analysis and how to use Python and its packages - A step-by-step guide to predictive modeling including tips, tricks, and best practices - Effectively visualize a broad set of analyzed data and generate effective results Who This Book Is For This book is for...

An Elementary Introduction to Statistical Learning Theory

John Wiley & Sons, 2011

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible...

The Calculus of Computation: Decision Procedures with Applications to Verification

Springer, 2007

Computational logic is a fast-growing field with applications in artificial intelligence, constraint solving, and the design and verification of software and hardware systems. Written with graduate and advanced undergraduate students in mind, this textbook introduces computational logic from the foundations of first-order logic to state-of-the-art...

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