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Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)
Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)

This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the...

Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition
Deep Learning with TensorFlow: Explore neural networks and build intelligent systems with Python, 2nd Edition

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of TensorFlow.

Key Features

  • Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow
  • Explore deep neural...
Deep Learning with R
Deep Learning with R

Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on the understanding of the theoretical and mathematical constructs and enables the reader to create applications on computer vision, natural language processing and transfer learning.  

The book...

Wave Goodbye to Type 2 Diabetes: 16 Holistic Lifestyle Practices to Prevent & Reverse Diabetes & Reclaim Joy, Vitality, & Plenty
Wave Goodbye to Type 2 Diabetes: 16 Holistic Lifestyle Practices to Prevent & Reverse Diabetes & Reclaim Joy, Vitality, & Plenty

Has diabetes or wild blood sugar swings taken you prisoner? Discover how to break free from being sick, tired, and symptomatic.

“Contrary to what conventional medicine generally believes, type 2 diabetes is reversible… even preventable. All the secrets for how to do this are right here in this engaging...

Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
Tame Your Anxiety: Rewiring Your Brain for Happiness
Tame Your Anxiety: Rewiring Your Brain for Happiness

Anxiety is natural. Calm is learned.

If you didn’t learn yesterday, you can learn today.

It’s not easy, of course. Once your natural alarm system is triggered, it’s hard to find the off switch. Indeed, you don’t have an off switch until you build one....

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

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...

Designing Machine Learning Systems with Python
Designing Machine Learning Systems with Python

Design efficient machine learning systems that give you more accurate results

About This Book

  • Gain an understanding of the machine learning design process
  • Optimize machine learning systems for improved accuracy
  • Understand common programming tools and techniques for machine...
Negation and Speculation Detection (Natural Language Processing)
Negation and Speculation Detection (Natural Language Processing)
Negation and speculation detection is an emerging topic that has attracted the attention of many researchers, and there is clearly a lack of relevant textbooks and survey texts. This book aims to define negation and speculation from a natural language processing perspective, to explain the need for processing these phenomena, to summarise...
Three Laws of Nature: A Little Book on Thermodynamics
Three Laws of Nature: A Little Book on Thermodynamics
A short and entertaining introduction to thermodynamics that uses real-world examples to explain accessibly an important but subtle scientific theory
 
A romantic description of the second law of thermodynamics is that the universe becomes increasingly disordered. But what does that actually mean? Starting with
...
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...

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