Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes Overview A practical and concise guide to using Haskell when getting to grips with data analysis Recipes for every stage of data analysis, from collection to visualization In-depth examples demonstrating various tools, solutions and techniques In Detail This book will take you on a voyage through all the steps involved in data analysis. It provides synergy between Haskell and data modeling, consisting of carefully chosen examples featuring some of the most popular machine learning techniques. You will begin with how to obtain and clean data from various sources. You will then learn how to use various data structures such as trees and gr...