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Machine Learning in Python

Machine Learning in Python

by Michael Bowles

Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in...

Price:  $25.97  |  Publisher:  Wiley  |  Release:  2015

How to Implement Market Models Using VBA

How to Implement Market Models Using VBA

by Francois Goossens

How to Implement Market Models Using VBA makes solving complex valuation issues accessible to any financial professional with a taste for mathematics. With a focus on the clarity of code, this practical introductory guide includes chapters on VBA fundamentals and essential mathematical techniques, helping readers master the numerical methods to build an algorithm that can be used in a wide range of pricing ...

Price:  $62.57  |  Publisher:  Wiley  |  Release:  2015

Data-Variant Kernel Analysis

Data-Variant Kernel Analysis

by Yuichi Motai

Describes and discusses the variants of kernel analysis methods for data types that have been intensely studied in recent years.This book covers kernel analysis topics ranging from the fundamental theory of kernel functions to its applications. The book surveys the current status, popular trends, and developments in kernel analysis studies. The author discusses multiple kernel learning algorithms and how to...

Price:  $65.00  |  Publisher:  Wiley  |  Release:  2015

Efficient Learning Machines

FREE EBOOK - Efficient Learning Machines

by Mariette Awad, Rahul Khanna

Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel ...

Price:  $39.99  |  Publisher:  Apress  |  Release:  2015

Machine Learning Projects for .NET Developers

Machine Learning Projects for .NET Developers

by Mathias Brandewinder

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You'll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you'...

Price:  $49.99  |  Publisher:  Apress  |  Release:  2015

Using the C++ Standard Template Libraries

Using the C++ Standard Template Libraries

by Ivor Horton

Using the C++ Standard Template Libraries is a contemporary treatment that teaches the generic programming capabilities that the C++ 14 Standard Library provides. In this book, author Ivor Horton explains what the class and function templates available with C++ 14 do, and how to use them in a practical context.You'll learn how to create containers, and how iterators are used with them to access, modify...

Price:  $43.44  |  Publisher:  Apress  |  Release:  2015

C++ Recipes

C++ Recipes

by Bruce Sutherland

C++ Recipes: A Problem-Solution Approach is a handy code cookbook reference guide that cover the latest C++ 14 as well as some of the code templates available in the latest Standard Template Library (STL).In this handy reference, you'll find numbers, strings, dates, times, classes, exceptions, streams, flows, pointers and more. Also, you'll see various code samples, templates for C++ algorithms, p...

Price:  $45.64  |  Publisher:  Apress  |  Release:  2015

MATLAB Recipes

MATLAB Recipes

by Stephanie Thomas, Michael Paluszek

Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. MATLAB Recipes: A Problem-Solution Approach is a practical reference for industry engineers using MATLAB to solve everyday problems. With this book you will review contemporary MATLAB coding including the latest language features and use MATLAB as a software development environment incl...

Price:  $49.99  |  Publisher:  Apress  |  Release:  2015

Practical Graph Analytics with Apache Giraph

Practical Graph Analytics with Apache Giraph

by Claudio Martella, Dionysios Logothetis, Roman Shaposhnik

Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation's Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to derive business value from vast amounts of interconnected data points.Graphs arise in a wealth of data scenarios and describe ...

Price:  $37.67  |  Publisher:  Apress  |  Release:  2015

Learn PHP 7

Learn PHP 7

by Steve Prettyman

This new book on PHP 7 introduces writing solid, secure, object-oriented code in the new PHP 7, carefully presented in a well-paced, clear fashion. In Learn PHP 7, programming examples take advantage of the newest PHP features, including enhanced password encryption using password_hash. This book takes a learn-by-doing approach, providing you with complete coding examples."Do It" exercises...

Price:  $25.99  |  Publisher:  Apress  |  Release:  2015

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