Getting Started With Haskell Data Analysis
DOWNLOAD
READ
Download Getting Started With Haskell Data Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Getting Started With Haskell Data Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Getting Started With Haskell Data Analysis
DOWNLOAD
READ
Author : James Church
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-31
Getting Started With Haskell Data Analysis written by James Church and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-31 with Computers categories.
Put your Haskell skills to work and generate publication-ready visualizations in no time at all Key Features Take your data analysis skills to the next level using the power of Haskell Understand regression analysis, perform multivariate regression, and untangle different cluster varieties Create publication-ready visualizations of data Book Description Every business and organization that collects data is capable of tapping into its own data to gain insights how to improve. Haskell is a purely functional and lazy programming language, well-suited to handling large data analysis problems. This book will take you through the more difficult problems of data analysis in a hands-on manner. This book will help you get up-to-speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and progress to more advanced concepts such as understanding the importance of normal distribution. While mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world. By the end of this book, you will have a thorough understanding of data analysis, and the different ways of analyzing data. You will have a mastery of all the tools and techniques in Haskell for effective data analysis. What you will learn Learn to parse a CSV file and read data into the Haskell environment Create Haskell functions for common descriptive statistics functions Create an SQLite3 database using an existing CSV file Learn the versatility of SELECT queries for slicing data into smaller chunks Apply regular expressions in large-scale datasets using both CSV and SQLite3 files Create a Kernel Density Estimator visualization using normal distribution Who this book is for This book is intended for people who wish to expand their knowledge of statistics and data analysis via real-world examples. A basic understanding of the Haskell language is expected. If you are feeling brave, you can jump right into the functional programming style.
Getting Started With Haskell Data Analysis
DOWNLOAD
READ
Author : James Church
language : en
Publisher:
Release Date : 2016
Getting Started With Haskell Data Analysis written by James Church and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
"Data analysis is part computer science and part statistics. An important part of data analysis is validating your assumptions with real-world data to see if there is a pattern, or a particular user behavior that you can validate. This video course will help you get up to speed with the basics of data analysis and approaches in the Haskell language. You'll learn about statistical computing, file formats (CSV and SQLite3), descriptive statistics, charts, and onto more advanced concepts like understanding the importance of normal distribution. Whilst mathematics is a big part of data analysis, we've tried to keep this course simple and approachable so that you can apply what you learn to the real world."--Resource description page.
Learning Haskell For Data Analysis
DOWNLOAD
READ
Author : James Church
language : en
Publisher:
Release Date : 2017
Learning Haskell For Data Analysis written by James Church and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Haskell Data Analysis Cookbook
DOWNLOAD
READ
Author : Nishant Shukla
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-06-25
Haskell Data Analysis Cookbook written by Nishant Shukla and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-25 with Computers categories.
Step-by-step recipes filled with practical code samples and engaging examples demonstrate Haskell in practice, and then the concepts behind the code. This book shows functional developers and analysts how to leverage their existing knowledge of Haskell specifically for high-quality data analysis. A good understanding of data sets and functional programming is assumed.
Learning Haskell For Data Analysis
DOWNLOAD
READ
Author :
language : en
Publisher:
Release Date : 2017
Learning Haskell For Data Analysis written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Learn how to analyze large amounts of data using Haskell. This course shows how to use Haskell for data science, including how to query, clean up, manipulate, and analyze data.
Learning Haskell Data
DOWNLOAD
READ
Author : James Church
language : en
Publisher: Packt Publishing
Release Date : 2015-05-28
Learning Haskell Data written by James Church and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-28 with Computers categories.
If you are a developer, analyst, or data scientist who wants to learn data analysis methods using Haskell and its libraries, then this book is for you. Prior experience with Haskell and a basic knowledge of data science will be beneficial.
Learning Path
DOWNLOAD
READ
Author :
language : en
Publisher:
Release Date : 2017
Learning Path written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
"Haskell, an advanced functional programming language, is well designed to work with complex data and handle large data analysis problems. If your work concerns statistics and data analysis and you wish to expand your knowledge using Haskell, this Learning Path is for you. This course will begin with the fundamentals and building blocks of Haskell programming language with special emphasis on functional programming. Then, you'll move on to learn statistical computing, descriptive statistics, charts, and onto more advanced concepts like understanding the importance of normal distribution. By the end of this Learning Path, you'll have an understanding of data analysis, different ways to analyze data, and the various clustering algorithms available."--Resource description page.
Get Programming With Haskell
DOWNLOAD
READ
Author : Will Kurt
language : en
Publisher: Simon and Schuster
Release Date : 2018-03-06
Get Programming With Haskell written by Will Kurt and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-06 with Computers categories.
Summary Get Programming with Haskell leads you through short lessons, examples, and exercises designed to make Haskell your own. It has crystal-clear illustrations and guided practice. You will write and test dozens of interesting programs and dive into custom Haskell modules. You will gain a new perspective on programming plus the practical ability to use Haskell in the everyday world. (The 80 IQ points: not guaranteed.) Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Programming languages often differ only around the edges—a few keywords, libraries, or platform choices. Haskell gives you an entirely new point of view. To the software pioneer Alan Kay, a change in perspective can be worth 80 IQ points and Haskellers agree on the dramatic benefits of thinking the Haskell way—thinking functionally, with type safety, mathematical certainty, and more. In this hands-on book, that's exactly what you'll learn to do. What's Inside Thinking in Haskell Functional programming basics Programming in types Real-world applications for Haskell About the Reader Written for readers who know one or more programming languages. Table of Contents Lesson 1 Getting started with Haskell Unit 1 - FOUNDATIONS OF FUNCTIONAL PROGRAMMING Lesson 2 Functions and functional programming Lesson 3 Lambda functions and lexical scope Lesson 4 First-class functions Lesson 5 Closures and partial application Lesson 6 Lists Lesson 7 Rules for recursion and pattern matching Lesson 8 Writing recursive functions Lesson 9 Higher-order functions Lesson 10 Capstone: Functional object-oriented programming with robots! Unit 2 - INTRODUCING TYPES Lesson 11 Type basics Lesson 12 Creating your own types Lesson 13 Type classes Lesson 14 Using type classes Lesson 15 Capstone: Secret messages! Unit 3 - PROGRAMMING IN TYPES Lesson 16 Creating types with "and" and "or" Lesson 17 Design by composition—Semigroups and Monoids Lesson 18 Parameterized types Lesson 19 The Maybe type: dealing with missing values Lesson 20 Capstone: Time series Unit 4 - IO IN HASKELL Lesson 21 Hello World!—introducing IO types Lesson 22 Interacting with the command line and lazy I/O Lesson 23 Working with text and Unicode Lesson 24 Working with files Lesson 25 Working with binary data Lesson 26 Capstone: Processing binary files and book data Unit 5 - WORKING WITH TYPE IN A CONTEXT Lesson 27 The Functor type class Lesson 28 A peek at the Applicative type class: using functions in a context Lesson 29 Lists as context: a deeper look at the Applicative type class Lesson 30 Introducing the Monad type class Lesson 31 Making Monads easier with donotation Lesson 32 The list monad and list comprehensions Lesson 33 Capstone: SQL-like queries in Haskell Unit 6 - ORGANIZING CODE AND BUILDING PROJECTS Lesson 34 Organizing Haskell code with modules Lesson 35 Building projects with stack Lesson 36 Property testing with QuickCheck Lesson 37 Capstone: Building a prime-number library Unit 7 - PRACTICAL HASKELL Lesson 38 Errors in Haskell and the Either type Lesson 39 Making HTTP requests in Haskell Lesson 40 Working with JSON data by using Aeson Lesson 41 Using databases in Haskell Lesson 42 Efficient, stateful arrays in Haskell Afterword - What's next? Appendix - Sample answers to exercise
Getting Started With Data Science
DOWNLOAD
READ
Author : Murtaza Haider
language : en
Publisher: IBM Press
Release Date : 2015-12-14
Getting Started With Data Science written by Murtaza Haider and has been published by IBM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-14 with Business & Economics categories.
Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy! Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s not just sexy: For millions of managers, analysts, and students who need to solve real business problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data science–until now. Getting Started with Data Science takes its inspiration from worldwide best-sellers like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything’s software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is built around real research challenges, so you’ll always know why you’re doing what you’re doing. You’ll master data science by answering fascinating questions, such as: • Are religious individuals more or less likely to have extramarital affairs? • Do attractive professors get better teaching evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in the way they use social media? • Who is more likely to use online dating services? • Why do some purchase iPhones and others Blackberry devices? • Does the presence of children influence a family’s spending on alcohol? For each problem, you’ll walk through defining your question and the answers you’ll need; exploring how others have approached similar challenges; selecting your data and methods; generating your statistics; organizing your report; and telling your story. Throughout, the focus is squarely on what matters most: transforming data into insights that are clear, accurate, and can be acted upon.
Advanced Haskell Data Analysis
DOWNLOAD
READ
Author : James Church
language : en
Publisher:
Release Date : 2016
Advanced Haskell Data Analysis written by James Church and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.
"Every business and organization that collects data is capable of tapping into its own data to gain insights on how to improve. Haskell is a purely functional and lazy programming language that is well suited to handling large data analysis problems. This video picks up where Beginning Haskell Data Analysis takes off. This video series will take you through the more difficult problems of data analysis in a conversational style. You will be guided on how to find correlations in data, as well as multiple dependent variables. You will be given a theoretical overview of the types of regression and we'll show you how to install the LAPACK and HMatrix libraries. By the end of the first part, you'll be familiar with the application of N-grams and TF-IDF. Once you've learned how to analyze data, the next step is organizing that data with the help of machine learning algorithms. You will be briefed on the mathematics and statistical theorems such as Baye's law and its application, as well as eigenvalues and eigenvectors using HMatrix. By the end of this course, you'll have an understanding of data analysis, different ways to analyze data, and the various clustering algorithms available. You'll also understand Haskell and will be ready to write code with it."--Resource description page.