Leanpub Header

Skip to main content

Filters

Category: "Data Science"

Data Science

New to Data Science? Read the Data Science article

  1. Essays on Data Analysis

    This book draws a complete picture of the data analysis process, filling out many details that are missing from previous presentations. It presents a new perspective on what makes for a successful data analysis and how the quality of data analyses can be judged.

  2. Graphs Don’t Lie
    Graphs Don’t Lie
    How to Lie with Graphs and Get Away With It…
    Lee Baker

    In this astonishing book, author Lee Baker uncovers how politicians, the press, corporations and other statistical conmen use graphs and charts to deceive their unwitting audience.Written as a layman’s guide to lying, cheating and deceiving with graphs, there’s not a dull page in sight!Discover the exciting world of graphical lies.

  3. Truth, Lies & Statistics
    Truth, Lies & Statistics
    How to Lie with Statistics
    Lee Baker

    In this eye-opening book, author Lee Baker uncovers the key tricks used by statistical hustlers to deceive, hoodwink and dupe the unwary.Written as a layman’s guide to lying, cheating and deceiving with data and statistics, there’s not a dull page in sight!Discover the exciting world of statistical cheating and persuasive misdirection.

  4. Hypothesis-Based Collaborative Filtering
    Hypothesis-Based Collaborative Filtering
    Retrieving Like-Minded Individuals Based on the Comparison of Hypothesized Preferences
    Amancio Bouza

    In this dissertation, we present hypothesis-based collaborative filtering (HCF) to expose individuals to products which best fits their preferences. HCF retrieves like-minded individuals based on the similarity of their hypothesized preferences by means of machine learning algorithms hypothesizing individuals’ preferences.

  5. Learn By Examples - Introduction to Data and Text Mining using DSTK3

    This book equip reader with data and text mining fundamental using DSTK 3. There are examples and explanatiosn are straight to the point. You will be walked through data mining process using DSTK 3.

  6. Real-Time Crypto
    Real-Time Crypto
    A big data approach to analyzing & automating cryptocurrency trading
    Brandon Rose

    Learn to build a machine learning pipeline that analyzes and automates cryptocurrency trading in real-time.

  7. The Apache Ignite book
    The Apache Ignite book
    The next phase of the distributed systems
    Shamim Bhuiyan

    The complete guide to learning everything you need to know about Apache Ignite

  8. Daily Programming Challenges from Reddit

    Containing nearly 200 programming challenges developed as part of the Reddit DailyProgrammer forum, this useful instrument will help you learn programming from the basics, or help you to learn a new language. Challenges are broken into three difficulty ranges, easy, medium, and hard, and can be accessed from a variety of languages.

  9. Manual Básico de Estatística Médica com a Linguagem R
    Manual Básico de Estatística Médica com a Linguagem R
    Introdução à análise de dados com a linguagem R e o RStudio
    Henrique Alvarenga da Silva

    Manual básico de uso da linguagem estatística R no RStudio.

  10. Ciencia de Datos con R
    Ciencia de Datos con R
    Importa, manipula, transforma, limpia, visualiza y comunica
    Ruben Sanchez Sancho

    Este libro es para ti si quieres aprender a programar en R.Este libro es para ti si quieres analizar datos con R.Usa el mismo material desarrollado como parte del curso en Ciencia de Datos con R de la plataforma Udemy.

  11. Bio/Recursion
    Bio/Recursion
    An Exploration in R
    Shawn T. O'Neil

    Available as PDF+Code Files or on Amazon, Bio/Recursion explores computer science and bioinformatics via examples in the R programming language. Along the way, over 100 color illustrations, 150 code blocks, and dozens of exercises illuminate the text.

  12. Learn Data with Bash Shell
    Learn Data with Bash Shell
    Explore real-world data at the Linux command line
    Scientific Programmer

    Can you build a script to count the number of sequences in a Big data consisting hundred thousands of nucleotide sequences in 30 seconds? You may wonder to know, this wouldn't take more a than a few words in Bash "grep -c "^>" data.fa" ! This book will help you to become an expert in bash and learn to explore real-world large data sets.

  13. Watershed Analysis in GIS: A Spatial Workbook

    A set of exercises for working with water data in ArcGIS, containing mostly new exercises I haven't published elsewhere - still a work in progress. Prior experience in GIS is assumed (see http://coursera.org/learn/gis for my courses that you can audit for free or take for a certificate)

  14. Demystifying Artificial Intelligence
    Demystifying Artificial Intelligence
    Jeffrey Leek and Divya N.

    This book breaks down the mystique around modern artificial intelligence and guides you through the world of self-driving cars, facial recognition, and digital voice assistants.

  15. Extreme Programming in R and Machine Learning

    The next time you look at an matrimonial advertisement in a news paper or a web age, your brain is going to break down the text and give you social insights and understand the direction the society is headed to. Here is your opportunity to learn and experiment not just on text mining but also web parsing. Get your hands dirty now.