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 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.
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...
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....
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...
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...
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 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...
