Monthly Archives: December 2014

Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
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Scikit-Learn Cookbook

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Scikit-Learn Cookbook by Trent Hauck
2014 | ISBN: 1783989483 | English | 214 pages | PDF | 3 MB

Scikit-Learn Cookbook
Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation

About This Book

Learn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the library really works
Use Scikit-Learn to simplify the programming side data so you can focus on thinking
Discover how to apply algorithms in a variety of situations
Who This Book Is For

If you're a data scientist already familiar with Python but not Scikit-Learn, or are familiar with other programming languages like R and want to take the plunge with the gold standard of Python machine learning libraries, then this is the book for you.

In Detail

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data—be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives—be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.
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The Fourier Transform & Its Applications

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Ronald Bracewell, "The Fourier Transform & Its Applications"
English | 1999 | pages: 635 | ISBN: 0073039381, 0071160434 | DJVU | 7 MB

The Fourier Transform & Its Applications
This text is designed for use in a senior undergraduate or graduate level course in Fourier Transforms. This text differs from many other fourier transform books in its emphasis on applications. Bracewell applies mathematical concepts to the physical world throughout this text, equipping students to think about the world and physics in terms of transforms. The pedagogy in this classic text is excellent. The author has included such tools as the pictorial dictionary of transforms and bibliographic references. In addition, there are many excellent problems throughout this book, which are more than mathematical exercises, often requiring students to think in terms of specific situations or asking for educated opinions. To aid students further, discussions of many of the problems can be found at the end of the book.
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The Fourier Transform & Its Applications

FREEDownload : The Fourier Transform & Its Applications

Ronald Bracewell, "The Fourier Transform & Its Applications"
English | 1999 | pages: 635 | ISBN: 0073039381, 0071160434 | DJVU | 7 MB

The Fourier Transform & Its Applications
This text is designed for use in a senior undergraduate or graduate level course in Fourier Transforms. This text differs from many other fourier transform books in its emphasis on applications. Bracewell applies mathematical concepts to the physical world throughout this text, equipping students to think about the world and physics in terms of transforms. The pedagogy in this classic text is excellent. The author has included such tools as the pictorial dictionary of transforms and bibliographic references. In addition, there are many excellent problems throughout this book, which are more than mathematical exercises, often requiring students to think in terms of specific situations or asking for educated opinions. To aid students further, discussions of many of the problems can be found at the end of the book.
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Optimal Models and Methods with Fuzzy Quantities

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Optimal Models and Methods with Fuzzy Quantities (Studies in Fuzziness and Soft Computing) by Bing-Yuan Cao
English | 2010-02-18 | ISBN: 3642107109 | PDF | 350 pages | 4 MB

Optimal Models and Methods with Fuzzy Quantities
The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables, Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, Fuzzy Linear Programming, Fuzzy Geometric Programming, Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equations and Interval and Fuzzy Functional and Their Variation.

It can not only be used as teaching materials or reference books for under-graduates in higher education, master graduates and doctor graduates in the courses of applied mathematics, computer science, artificial intelligence, fuzzy information process and automation, operations research, system science and engineering, and the like, but also serves as a reference book for researchers in these fields, particularly, for researchers in soft science.
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Head First Programming: A Learner’s Guide to Programming Using the Python Language

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Griffiths David, Barry Paul, "Head First Programming: A Learner's Guide to Programming Using the Python Language"
2009 | ISBN: 0596802374 | 440 pages | EPUB | 16 MB

Head First Programming: A Learner’s Guide to Programming Using the Python Language
Looking for a reliable way to learn how to program on your own, without being overwhelmed by confusing concepts? Head First Programming introduces the core concepts of writing computer programs — variables, decisions, loops, functions, and objects — which apply regardless of the programming language. This book offers concrete examples and exercises in the dynamic and versatile Python language to demonstrate and reinforce these concepts.

Learn the basic tools to start writing the programs that interest you, and get a better understanding of what software can (and cannot) do. When you're finished, you'll have the necessary foundation to learn any programming language or tackle any software project you choose.

With a focus on programming concepts, this book teaches you how to:

Understand the core features of all programming languages, including: variables, statements, decisions, loops, expressions, and operators
Reuse code with functions
Use library code to save time and effort
Select the best data structure to manage complex data
Write programs that talk to the Web
Share your data with other programs
Write programs that test themselves and help you avoid embarrassing coding errors

We think your time is too valuable to waste struggling with new concepts. Using the latest research in cognitive science and learning theory to craft a multi-sensory learning experience, Head First Programming uses a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep.
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Thomas Aquinas: A Very Short Introduction

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Thomas Aquinas: A Very Short Introduction by Fergus Kerr
English | 2009-11-30 | ISBN: 0199556644 | PDF | 144 pages | 2,7 MB

Thomas Aquinas: A Very Short Introduction
Thomas Aquinas is one of the giants of medieval philosophy, a thinker who had–and who still has–a profound influence on Western thought. Aquinas was a controversial figure in his time who was often engaged in fierce theological debates. He was the foremost classical proponent of natural theology, and the father of the Thomistic school of philosophy and theology. This Very Short Introduction will look at Aquinas in a historical context, and explore the Church and culture into which Aquinas was born. It will consider Aquinas as philosopher and theologian, and will look at the relationship between philosophy and religion in the thirteenth century. Fergus Kerr, in this engaging and informative introduction, makes the Summa Theologiae, Aquinas's greatest single work, accessible to new readers. He also sheds valuable light on the importance of Thomas Aquinas in modern times, showing why Aquinas matters now, illustrating the significant role that the writings of Aquinas play in contemporary debate.
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Microsoft® ASP.NET 2.0 Step By Step

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Microsoft® ASP.NET 2.0 Step By Step (Step by Step Developer) by George Shepherd
English | November 2, 2005 | ISBN: 8120329112 | ASIN: 0735622019 | 464 Pages | CHM | 6 MB
Teach yourself the fundamentals of ASP.NET 2.0-one step at a time. With this practical, learn-by-doing tutorial, you get the guidance you need to start creating components and working applications for the Web!

Microsoft® ASP.NET 2.0 Step By Step
Discover how to:

Work in the Microsoft Visual Studio 2005 development environment
Add standard, built-in controls, custom controls, and Web Parts to any page
Use Master pages, themes, and skins to build a consistently styled user interface
Manage access to your application
Enable personalization capabilities
Build custom handlers
Use caching to help improve application performance
Trace and debug applications
Configure and manage session state
Create and use Web services
Compile and deploy applications
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