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Free eBooks on Hadoop, Deep Learning and DataViz by Packt

R Deep Learning Essentials

By Joshua F. Wiley

Get everything you need to know to enter the world of deep learning when it comes to R with this book. Get started from the packages you need to have for your side, building models related to neural networks, prediction, and deep prediction, to fine tuning and optimizing everything you have.

What you will learn:

  • Set up the R package H2O to train deep learning models
  • Understand the core concepts behind deep learning models
  • Use Autoencoders to identify anomalous data or outliers
  • Predict or classify data automatically using deep neural networks
  • Build generalizable models using regularization to avoid overfitting the training data

Click here to get the free eBook

Learning IPython for Interactive Computing and Data Visualization - Second Edition

By Cyrille Rosant

With data analysis and numerical computing tutorials at your disposal, discover how to make the most of IPython. Discover why Python is so loved in the data world and revolutionize your work today!

What you will learn:

  • Install Anaconda and code in Python in the Jupyter Notebook
  • Load and explore datasets interactively
  • Perform complex data manipulations effectively with pandas
  • Create engaging data visualizations with matplotlib and seaborn
  • Simulate mathematical models with NumPy
  • Visualize and process images interactively in the Jupyter Notebook with scikit-image
  • Accelerate your code with Numba, Cython, and IPython.parallel
  • Extend the Notebook interface with HTML, JavaScript, and D3

Click here to get the free eBook

Hadoop Explained

By Aravind Shenoy

Hadoop is one of the most important technologies in a world that is built on data. Find out how it has developed and progressed to address the continuing challenge of Big Data with this insightful guide.

What you will learn:

  • Find out how Hadoop has changed with the data landscape, as organizations around the world have come to rely upon its speed and dynamism
  • Learn how MapReduce organizes and processes large sets of data and how this informs Hadoop
  • Discover the advantages of Hadoop - from scalability to security, see how Hadoop handles huge amounts of data with care
  • Identify the components that are central to how Hadoop functions

Click here to get the free eBook

Advanced Machine Learning with Python

By John Hearty

This book contains clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning, and more - all whilst working with real-world applications that include image, music, text, and financial data. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications.

What you will learn:

  • Push your Python algorithms to maximum potential
  • Clear examples and detailed code samples demonstrate deep learning techniques, semi-supervised learning with real world applications
  • Learn  most relevant and powerful machine learning techniques
  • Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications

Click here to get the free eBook

Getting Started with TensorFlow

By Giancarlo Zaccone

Start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps. Learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior. Get to grips with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage.

Install and adopt TensorFlow in your Python environment to solve mathematical problems, get to know basic machine and deep learning concepts, and more.

What you will learn:

  • Start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps
  • Learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior
  • Get to grips with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage
  • Install and adopt TensorFlow in your Python environment to solve mathematical problems, get to know basic machine and deep learning concepts

Click here to get the free eBook

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Tags: R, datavisualization, deep, deeplearning, hadoop, ipython, jupyter, learning, machinelearning, matplotlib, More…python, tensorflow

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