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Category: "Data Science"

Books

  1. 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.

  2. 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

  3. 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.

  4. Learning Algorithms Through Programming and Puzzle Solving

    This book powers our MicroMasters program on edX and specialization on Coursera, one of the ten most popular computer science courses on Coursera. Over half a million students have tried to solve many programming challenges and algorithmic puzzles described in this book. We invite you to join them! See the webpage of the book for more details.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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)

  10. 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.

  11. 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.

  12. Learn By Examples - A Quick Guide To Data Science With Python

    Data science is a growing field. Want to learn the popular python programming language to do data mining, this is the book to grab.

  13. Data Science Solutions
    Data Science Solutions
    Machine Learning, Python, Neo4j, Kaggle, Cloud Platforms
    Manav Sehgal

    Learn to scale your data science projects from comfort of your development laptop to production scale on the Google and Amazon Clouds. Learn Python for Data Science. Setup Google Cloud Datastore, Firebase, and DynamoDB. Use Neo4j and Open Refine in your workflow.

  14. Reinforcement Learning with Python
    Reinforcement Learning with Python
    A hands-on introduction
    Pablo Maldonado

    What do Atari games, schedule planning and self-piloted drones have in common? Find the answer in this book!

  15. Building Shiny Apps
    Building Shiny Apps
    Web development for R users
    Pablo Maldonado

    Want to quickly build dashboards to get insight from your data, but don't want to spend on expensive software? Do you need a data-driven app that helps your business? Do you have a general interest in web development, but don't know were to start? Shiny can do this and more for you. This book helps you get started to get your work done.