Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Learning ArcGIS for Desktop
Learning ArcGIS for Desktop

Create, analyze, and map your spatial data with ArcGIS for Desktop

About This Book

  • Learn how to use ArcGIS for Desktop to create and manage geographic data, perform vector and raster analysis, design maps, and share your results
  • Solve real-world problems and share your...
Learning to Program with MATLAB: Building GUI Tools
Learning to Program with MATLAB: Building GUI Tools
To learn how to program a computer in a modern language with serious graphical capabilities, is to take hold of a tool of remarkable flexibility that has the power to provide profound insight. This text is primarily aimed at being a first course in programming, and is oriented toward integration with science, mathematics, and...
Basic Modern Algebra with Applications
Basic Modern Algebra with Applications

The book is primarily intended as a textbook on modern algebra for undergraduate mathematics students. It is also useful for those who are interested in supplementary reading at a higher level. The text is designed in such a way that it encourages independent thinking and motivates students towards further study. The book covers all major...

An Elementary Introduction to Statistical Learning Theory
An Elementary Introduction to Statistical Learning Theory

A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning

A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible...

Calculus for Computer Graphics
Calculus for Computer Graphics

Students studying computer animation and computer games have to be familiar with geometry, matrices, vectors, rotation transforms, quaternions, curves and surfaces, and as computer graphics software becomes increasingly sophisticated, calculus is also being used to resolve its associated problems.

The author draws upon his...

Fat Manifolds and Linear Connections
Fat Manifolds and Linear Connections
The theory of connections is central not only in pure mathematics (differential and algebraic geometry), but also in mathematical and theoretical physics (general relativity, gauge fields, mechanics of continuum media). The now-standard approach to this subject was proposed by Ch. Ehresmann 60 years ago, attracting first mathematicians and...
Algorithms for Discrete Fourier Transform and Convolution (Signal Processing and Digital Filtering)
Algorithms for Discrete Fourier Transform and Convolution (Signal Processing and Digital Filtering)

The main goal of this graduate-level text is to provide a language for understanding, unifying, and implementing a wide variety of algorithms for digital signal processing -- in particular, to provide rules and procedures that can simplify or even automate the task of writing code for the newest parallel and vector machines. It thus bridges...

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...

Machine Learning in Action
Machine Learning in Action

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

Wavelet Image and Video Compression (The Springer International Series in Engineering and Computer Science)
Wavelet Image and Video Compression (The Springer International Series in Engineering and Computer Science)
`This is a very well-organized and useful reference book for those who are new to wavelet image and video coding.'
Journal of Electronic Imaging, 9:2 (2000)

An exciting new development has taken place in the digital era that has captured the imagination and talent of
...
Result Page: 33 32 31 30 29 28 27 26 25 24 
©2018 LearnIT (support@pdfchm.net) - Privacy Policy