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Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Water Resources: A New Water Architecture (Challenges in Water Management Series)
Water Resources: A New Water Architecture (Challenges in Water Management Series)

Over 7 billion people demand water from resources that the changing climate is making more and more difficult to harness. Water scarcity and shortage are increasingly common and conditions are becoming more extreme. Inadequate and inappropriate management of water is already taking its toll on the environment and on the quality of life of...

Whittled Away: Ireland's Vanishing Nature
Whittled Away: Ireland's Vanishing Nature

A look at how and why nature is disappearing in Ireland. It charts how a grim failure to manage the country's natural resources has impoverished Ireland. But it also reveals the possibilities for the future, describing how Ireland can replenish the seas, farm in tune with nature, and develop forests that benefit both people and wildlife....

Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you...

Sport (The Art of Living)
Sport (The Art of Living)

Whether it's conkers in the schoolyard, kicking a football in the park, or playing tennis on Wimbledon Centre Court, sport impacts all of our lives. But what is sport and why do we do it? Colin McGinn, renowned philosopher (and kiteboarder), reflects on our love of sport and explores the value it has for us and the part it plays in a life...

Java: Data Science Made Easy
Java: Data Science Made Easy

Data collection, processing, analysis, and more

About This Book

  • Your entry ticket to the world of data science with the stability and power of Java
  • Explore, analyse, and visualize your data effectively using easy-to-follow examples
  • A highly practical course covering a broad...
Why Stock Markets Crash: Critical Events in Complex Financial Systems (Princeton Science Library)
Why Stock Markets Crash: Critical Events in Complex Financial Systems (Princeton Science Library)

The scientific study of complex systems has transformed a wide range of disciplines in recent years, enabling researchers in both the natural and social sciences to model and predict phenomena as diverse as earthquakes, global warming, demographic patterns, financial crises, and the failure of materials. In this book, Didier Sornette boldly...

Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing
Testing Python: Applying Unit Testing, TDD, BDD and Acceptance Testing

Fundamental testing methodologies applied to the popular Pythonlanguage

Testing Python; Applying Unit Testing, TDD, BDD andAcceptance Testing is the most comprehensive book available ontesting for one of the top software programming languages in theworld. Python is a natural choice for new and experienceddevelopers,...

Building Probabilistic Graphical Models with Python
Building Probabilistic Graphical Models with Python

Solve machine learning problems using probabilistic graphical models implemented in Python with real-world applications

About This Book

  • Stretch the limits of machine learning by learning how graphical models provide an insight on particular problems, especially in high dimension areas such as image...
Emotion-Oriented Systems
Emotion-Oriented Systems

The Affective Computing domain, term coined by Rosalind Picard in 1997, gathers several scientific areas such as computer science, cognitive science, psychology, design and art. The humane-machine interaction systems are no longer solely fast and efficient. They aim to offer to users affective experiences: user’s affective state is...

The Clinical Practice of Complementary, Alternative, and Western Medicine
The Clinical Practice of Complementary, Alternative, and Western Medicine

"Western Medicine", "Alternative Medicine", "Complementary Medicine", "Holistic Medicine", and "Natural Medicine." There is really only one "medicine" that heals and puts the whole patient, not the disease, at the center of care: Integrated Medicine. This practice integrates all...

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