Buy Haskell Data Analysis Cookbook by Nishant Shukla
close menu
Bookswagon
search
My Account
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology Books > Haskell Data Analysis cookbook: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
Haskell Data Analysis cookbook: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

Haskell Data Analysis cookbook: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

Key Features
    Book DescriptionStep-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.What you will learn
    • Obtain and analyze raw data from various sources including text files, CSV files, databases, and websites
    • Implement practical tree and graph algorithms on various datasets
    • Apply statistical methods such as moving average and linear regression to understand patterns
    • Fiddle with parallel and concurrent code to speed up and simplify timeconsuming algorithms
    • Find clusters in data using some of the most popular machine learning algorithms
    • Manage results by visualizing or exporting data
    Who this book is for



    Table of Contents:
    Table of Contents
    1. Obtaining Data
    2. Cleaning Data
    3. String Manipulations
    4. Hashing Data
    5. Tree Data Structure
    6. Graph Data Structure
    7. Statistical Methods
    8. Clustering
    9. Parallel Design
    10. Real Time Data Analysis
    11. Visualizing Data
    12. Evoking External Programs


    About the Author :
    Shukla Nishant :

    Nishant Shukla is a computer scientist with a passion for mathematics. Throughout the years, he has worked for a handful of start-ups and large corporations including WillowTree Apps, Microsoft, Facebook, and Foursquare. Stepping into the world of Haskell was his excuse for better understanding Category Theory at first, but eventually, he found himself immersed in the language. His semester-long introductory Haskell course in the engineering school at the University of Virginia (http://shuklan.com/haskell) has been accessed by individuals from over 154 countries around the world, gathering over 45,000 unique visitors. Besides Haskell, he is a proponent of decentralized Internet and open source software. His academic research in the fields of Machine Learning, Neural Networks, and Computer Vision aim to supply a fundamental contribution to the world of computing.


    Best Sellers


    Product Details
    • ISBN-13: 9781783286348
    • Publisher: Packt Publishing Limited
    • Publisher Imprint: Packt Publishing Limited
    • Edition: Digital original
    • No of Pages: 334
    • ISBN-10: 1783286342
    • Publisher Date: 07 Oct 2025
    • Binding: Digital (delivered electronically)
    • Language: English
    • Sub Title: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes


    Similar Products

    Add Photo
    Add Photo

    Customer Reviews

    REVIEWS      0     
    Click Here To Be The First to Review this Product
    Haskell Data Analysis cookbook: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
    Packt Publishing Limited -
    Haskell Data Analysis cookbook: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
    Writing guidlines
    We want to publish your review, so please:
    • keep your review on the product. Review's that defame author's character will be rejected.
    • Keep your review focused on the product.
    • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
    • Refrain from mentioning competitors or the specific price you paid for the product.
    • Do not include any personally identifiable information, such as full names.

    Haskell Data Analysis cookbook: Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

    Required fields are marked with *

    Review Title*
    Review
      Add Photo Add up to 6 photos
      Would you recommend this product to a friend?
      Tag this Book Read more
      Does your review contain spoilers?
      What type of reader best describes you?
      I agree to the terms & conditions
      You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

      CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

      These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


      By submitting any content to Bookswagon, you guarantee that:
      • You are the sole author and owner of the intellectual property rights in the content;
      • All "moral rights" that you may have in such content have been voluntarily waived by you;
      • All content that you post is accurate;
      • You are at least 13 years old;
      • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
      You further agree that you may not submit any content:
      • That is known by you to be false, inaccurate or misleading;
      • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
      • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
      • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
      • For which you were compensated or granted any consideration by any unapproved third party;
      • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
      • That contains any computer viruses, worms or other potentially damaging computer programs or files.
      You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


      For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


      All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

      Accept


      Inspired by your browsing history


      Your review has been submitted!

      You've already reviewed this product!