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F# for Quantitative Finance
To develop your confidence in F#, this tutorial will first introduce you to simpler tasks such as curve fitting. You will then advance to more complex tasks such as implementing algorithms for trading semi-automation in a practical scenario-based format.If you are a data analyst or a practitioner in quantitative finance, economics, or mathematics and wish to learn how to use F# as a functional programming language, this book is for you. You should have a basic conceptual understanding of financial concepts and models. Elementary knowledge of the .NET framework would also be helpful.
eBook
F# for machine learning essentials
Get up and running with machine learning with F# in a fun and functional way About This Book • Design algorithms in F# to tackle complex computing problems • Be a proficient F# data scientist using this simple-to-follow guide • Solve real-world, data-related problems with robust statistical models, built for a range of datasets Who This Book Is For If you are a C# or an F# developer who now wants to explore the area of machine learning, then this book is for you. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage. What You Will Learn • Use F# to find patterns through raw data • Build a set of classification systems using Accord.NET, Weka, and F# • Run machine learning jobs on the Cloud with MBrace • Perform mathematical operations on matrices and vectors using Math.NET • Use a recommender system for your own problem domain • Identify tourist spots across the globe using inputs from the user with decision tree algorithms In Detail The F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs. If you want to learn how to use F# to build machine learning systems, then this is the book you want. Starting with an introduction to the several categories on machine learning, you will quickly learn to implement time-tested, supervised learning algorithms. You will gradually move on to solving problems on predicting housing pricing using Regression Analysis. You will then learn to use Accord.NET to implement SVM techniques and clustering. You will also learn to build a recommender system for your e-commerce site from scratch. Finally, you will dive into advanced topics such as implementing neural network algorithms while performing sentiment analysis on your data. Style and approach This book is a fast-paced tutorial guide that uses hands-on examples to explain real-world applications of machine learning. Using practical examples, the book will explore several machine learning techniques and also describe how you can use F# to build machine learning systems.
eBook
The book of F
Perl one-liners are small and awesome Perl programs that fit in one line of code and do one thing really well. Perl One-Liners showcases 130 short and compelling lines of code that do all sorts of handy, geeky things like numbering lines in a file; generating random passwords; encoding, decoding, and converting strings; calculating factorials; even checking to see if a number is prime with a regular expression. Author Peteris Krumins' dissections of each bit of code will help you gain a deeper understanding of the Perl language, and these Perl one-liners are sure to save you time and sharpen your sleight of hand.
eBook
Functional Programming Using F
This comprehensive introduction to the principles of functional programming using F# shows how to apply basic theoretical concepts to produce succinct and elegant programs. It demonstrates the role of functional programming in a wide spectrum of applications including databases and systems. Coverage also includes advanced features in the .NET library, the imperative features of F# and topics such as text processing, sequences, computation expressions and asynchronous computation. With a broad spectrum of examples and exercises, the book is perfect for courses in functional programming and for self-study. Enhancing its use as a text is an accompanying website with downloadable programs, lecture slides, mini-projects and links to further F# sources.
eBook
F♯ for quantitative finance
To develop your confidence in F#, this tutorial will first introduce you to simpler tasks such as curve fitting. You will then advance to more complex tasks such as implementing algorithms for trading semi-automation in a practical scenario-based format.If you are a data analyst or a practitioner in quantitative finance, economics, or mathematics and wish to learn how to use F# as a functional programming language, this book is for you. You should have a basic conceptual understanding of financial concepts and models. Elementary knowledge of the .NET framework would also be helpful.
eBook
C♯ annotated standard
Standards, while being definitive, do not usually serve as the best reference to the use of a programming language. Books on languages usually are able to explain usage better, but lack the definitive precision of a standard. This book combines the two; it is the standard with added explanatory material. * Written by members of the standards committee* Annotates the standard with practical implementation advice* The definitive reference to the C# International Standard
eBook
F# for Machine Learning Essentials
Get up and running with machine learning with F# in a fun and functional wayAbout This BookDesign algorithms in F# to tackle complex computing problemsBe a proficient F# data scientist using this simple-to-follow guideSolve real-world, data-related problems with robust statistical models, built for a range of datasetsWho This Book Is ForIf you are a C# or an F# developer who now wants to explore the area of machine learning, then this book is for you. Familiarity with theoretical concepts and notation of mathematics and statistics would be an added advantage.What You Will LearnUse F# to find patterns through raw dataBuild a set of classification systems using Accord.NET, Weka, and F#Run machine learning jobs on the Cloud with MBracePerform mathematical operations on matrices and vectors using Math.NETUse a recommender system for your own problem domainIdentify tourist spots across the globe using inputs from the user with decision tree algorithmsIn DetailThe F# functional programming language enables developers to write simple code to solve complex problems. With F#, developers create consistent and predictable programs that are easier to test and reuse, simpler to parallelize, and are less prone to bugs.If you want to learn how to use F# to build machine learning systems, then this is the book you want.Starting with an introduction to the several categories on machine learning, you will quickly learn to implement time-tested, supervised learning algorithms. You will gradually move on to solving problems on predicting housing pricing using Regression Analysis. You will then learn to use Accord.NET to implement SVM techniques and clustering. You will also learn to build a recommender system for your e-commerce site from scratch. Finally, you will dive into advanced topics such as implementing neural network algorithms while performing sentiment analysis on your data.Style and approachThis book is a fast-paced tutorial guide that uses hands-on examples to explain real-world applications of machine learning. Using practical examples, the book will explore several machine learning techniques and also describe how you can use F# to build machine learning systems.
eBook
Functional programming in F
This comprehensive introduction to the principles of functional programming using F# shows how to apply basic theoretical concepts to produce succinct and elegant programs. It demonstrates the role of functional programming in a wide spectrum of applications including databases and systems. Coverage also includes advanced features in the .NET library, the imperative features of F# and topics such as text processing, sequences, computation expressions and asynchronous computation. With a broad spectrum of examples and exercises, the book is perfect for courses in functional programming and for self-study. Enhancing its use as a text is an accompanying website with downloadable programs, lecture slides, mini-projects and links to further F# sources.
eBook
Ivor Horton's Beginning Visual C++® 2008
Proudly presenting the latest edition of one of the all-time bestselling books on the C++ language, successful author Ivor Horton repeats the formula that has made each previous edition so popular by teaching you both the standard C++ language and C++/CLI as well as Visual C++ 2008. Thoroughly updated for the 2008 release, this book shows you how to build real-world applications using Visual C++ and guides you through the ins and outs of C++ development. With this book by your side, you are well on your way to becoming a successful C++ programmer.
eBook