Free eBooks for Data Visualization and Machine Learning

This eBook offers you the perfect place to lay the foundation for your work in the world of Machine Learning, providing the basic understanding, knowledge, and skills that you can build on with experience and time.

What you will learn:

Discover the various forms Machine Learning, and take that which will benefit you the most
Pick up the Python tools you need to know: from pandas to scikit-learn
Learn the relationship between machine learning and big data
Understand and identify potential real-world scenarios where machine learning can be applied
Lay the foundations to get started in the wide world of machine learning

Click here to get the free eBook

HTML5 Graphing and Data Visualization Cookbook

By Ben Fhala

Get a complete grounding in the exciting visual world of Canvas and HTML5 using this recipe-packed cookbook. Learn to create charts and graphs, draw complex shapes, add interactivity, work with Google maps, and much more.

What you will learn:

Creating graphics in Canvas 2D and draw complex shapes
Building most of the common charts through step-by-step recipes
Adding interactivity to canvas elements and create your own JavaScript animation engine
Discovering many fantastic charting solutions and learn how to deal with their capabilities and how to change them as well
Learning how to work with Google maps , Google Charts, and Google Docs API
Integrating your data into live data, xml driven data, objects, and strings

Click here to get the free eBook

Building Machine Learning Systems with Python

By Willi Richert, Luis Pedro Coelho

Expand your knowledge of Python data with the power of machine learning with this eBook. Find out how to use cutting-edge Python machine learning algorithms to reveal the hidden insight in your data. You'll learn how to build machine learning for text, images, and sounds with free open-source tools and libraries.

What you will learn:

Build a classification system that can be applied to text, images, or sounds
Use Numpy, ScipY, scikit-learn, and Matplotlib: Python open-source libraries for data and machine learning
Employ Amazon Web Services to run analyses on the cloud
Recommend products to users based on past purchases

Click here to get the free eBook

Practical Data Analysis

By Hector Cuesta

This eBook is designed to give you the knowledge you need to start succeeding in data analysis. Discover the tools, techniques and algorithms you need to transform your data into insight.

What you will learn:

Work with data to get meaningful results from your data analysis projects
Visualize your data to find trends and correlations
Build your own image similarity search engine
Learn how to forecast numerical values from time series data
Create an interactive visualization for your social media graph
Explore the MapReduce framework in MongoDB
Create interactive simulations with D3js

Click here to get the free eBook

Machine Learning with R

By Brett Lantz

Tech consultants and BI experts will charge a lot to help you turn data into actionable insights. This eBook will help you do just that - without costing a thing. Your business can't afford to waste its data - and you shouldn't waste this opportunity to kickstart your skillset.

What you will learn:

Get to grips with the basics of machine learning
Find out how to classify data using nearest neighbor methods
Learn Bayesian methods to classify data
Predict values using decision trees, rules, and support vector machines
Model data using neural networks
Join a global community of statisticians and data scientists putting R to work to produce stunning insights

Click here to get the free eBook

The article was originally published here

Source: HOB

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