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The Elements of Style (4th Edition)
The Elements of Style (4th Edition)
You know the authors' names. You recognize the title. You've probably used this book yourself. This is The Elements of Style, the classic style manual, now in a fourth edition. A new Foreword by Roger Angell reminds readers that the advice of Strunk & White is as valuable today as when it was first offered.This...
Fundamentals of Probability: With Stochastic Processes
Fundamentals of Probability: With Stochastic Processes

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...

Applying Predictive Analytics: Finding Value in Data
Applying Predictive Analytics: Finding Value in Data

This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be...

Data Mining Methods and Models
Data Mining Methods and Models
Apply powerful Data Mining Methods and Models to Leverage your Data for Actionable Results

Data Mining Methods and Models provides:

  • The latest techniques for uncovering hidden nuggets of information
  • The insight into how the data mining algorithms actually work
  • The hands-on experience of...
Architects of Intelligence: The truth about AI from the people building it
Architects of Intelligence: The truth about AI from the people building it

Financial Times Best Books of the Year 2018

TechRepublic Top Books Every Techie Should Read

Book Description

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level...

Multivariate Time Series Analysis: With R and Financial Applications
Multivariate Time Series Analysis: With R and Financial Applications

An accessible guide to the multivariate time series tools used in numerous real-world applications

Multivariate Time Series Analysis: With R and Financial Applications is the much anticipated sequel coming from one of the most influential and prominent experts on the topic of time series. Through a...

Chaos: An Introduction for Applied Mathematicians
Chaos: An Introduction for Applied Mathematicians
This is a textbook on chaos and nonlinear dynamics, written by applied mathematicians for applied mathematicians. It aims to tread a middle ground between the mathematician's rigour and the physicist’s pragmatism.

While the subject matter is now classical and can be found in many other books, what distinguishes this book...

Mastering Bitcoin: Unlocking Digital Cryptocurrencies
Mastering Bitcoin: Unlocking Digital Cryptocurrencies

Mastering Bitcoin is essential reading for everyone interested in learning about bitcoin basics, the technical operation of bitcoin, or if you're building the next great bitcoin killer app or business. From using a bitcoin wallet to buy a cup of coffee, to running a bitcoin marketplace with hundreds of thousands of transactions, or...

Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science)
Principles of Digital Image Processing: Advanced Methods (Undergraduate Topics in Computer Science)

This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the...

Probability (Graduate Studies in Mathematics)
Probability (Graduate Studies in Mathematics)

This is a textbook for a one-semester graduate course in measure-theoretic probability theory, but with ample material to cover an ordinary year-long course at a more leisurely pace. Khoshnevisan's approach is to develop the ideas that are absolutely central to modern probability theory, and to showcase them by presenting their various...

Digital Signal Processing
Digital Signal Processing
An up-to-the-minute textbook for junior/senior level signal processing courses and senior/graduate level digital filter design courses, this text is supported by a DSP software package known as D-Filter which would enable students to interactively learn the fundamentals of DSP and digital-filter design. The book includes a free license to...
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most...

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