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Data Science

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  1. Memory Dump Analysis Anthology, Volume 4, Revised Edition

    This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) written in July 2009 - January 2010. This major revision contains corrections and WinDbg output color highlighting.

  2. Pack YouR Code
    Pack YouR Code
    How to create a simple R package based on the so-called S3 classes
    Gaston Sanchez

    Although this book is not a comprehensive text that covers every single aspect about creating R packages, I’ve written it in the spirit of an extended tutorial or guide document with a relatively simple working example.

  3. Handling Strings With R

    This book aims to help you get started with handling strings in R. It provides an overview of several resources that you can use for string manipulation. It covers useful functions in packages "base" and "stringr", printing and formatting characters, regular expressions, and other tricks.

  4. Big Data Analytics
    Big Data Analytics
    Data Scientist’s Viewpoint
    Shefali Nayak

    The book is designed to walk you through the various stages of a Big Data Analytics project, concepts and possible avenues when working with huge and overwhelming amounts of structured and unstructured data. Please check the bundle options with this book for better deals!

  5. Spreadsheet Adventures: Companion Book to "Coloring Fun with Conditional Formatting"

    This companion book to "Spreadsheet Adventures: Coloring Fun with Conditional Formatting" contains Excel files with beautiful patterns, ready for you to change and color to your heart's content. The most important part of this companion book is not the book itself – you can read it for free – but those Excel files provided with your purchase!

  6. Getting Started With Statistics
    Getting Started With Statistics
    A Series of Bitesize Guides For Beginners
    Lee Baker

    Getting Started With Statistics is a series of short, snappy books (4 with more coming soon) that will help you get started with statistics and inspire you to take the next steps.Getting Started With Statistics makes no assumptions about your previous experience and is perfect for beginners and those just getting started with analysing data.

  7. Introdução à Visualização de Dados
    Introdução à Visualização de Dados
    Simone Barbosa and Gabriel Barbosa

    Este livro está em construção e vem sendo elaborado com base nas notas de aula da disciplina Visualização de Informação lecionada no Departamento de Informática da PUC-Rio. Para enviar comentários ou sugestões, entre em contato através do email livro.vis.dados@gmail.com.

  8. Sampling Techniques
    Sampling Techniques
    A Comprehensive Overview
    Shefali Nayak

    This is your go-to book for understanding difficult concepts in Sampling Techniques in lucid language. At the end of this book, you will be familiar with the data collection process and the commonly used random and non-random sampling techniques. Please check the bundle options with this book for better deals!

  9. What Just Happened: Descriptive Statistics
    What Just Happened: Descriptive Statistics
    An Explorer’s Guide to Data
    Shefali Nayak

    The book explains the core concepts and terminologies of Descriptive Statistics using real-world examples. The book contains 17 practice problems, 2 quizzes, 36 graphical representations and numerous examples to enable effective learning and understanding of the concepts. Please check the bundle options with this book for better deals!

  10. Understanding Deep Learning
    Understanding Deep Learning
    Application in Rare Event Prediction
    Chitta Ranjan

    "It is like a voyage of discovery, seeking not for new territory but new knowledge. It should appeal to those with a good sense of adventure," Dr. Frederick Sanger. I hope every reader enjoys this voyage in deep learning and find their adventure.

  11. Data Science Bootstrap Notes
    Data Science Bootstrap Notes
    Set up your machine, structure your projects, and work at the speed of thought.
    Eric Ma

    Most data science programs teach the math. Almost none teach you how to set up your machine, structure a project, or make your work reproducible. This book is the missing half, distilled from a decade of hard-won lessons into a short guide you can read in a weekend.

  12. Coffee Break Pandas
    Coffee Break Pandas
    74 Pandas Puzzles to Build Your Pandas Data Science Superpower
    Finxter, Lukas Rieger, and Kyrylo Kravets

    The sexiest job in the 21st century? Data Science!Coffee Break Pandas teaches you the new superpower of analyzing and processing data with Python's Pandas framework. If solving puzzles is fun for you, you'll love ❤ this book with 74 brand-new, hand-crafted Pandas puzzles to help you stay relevant in today's marketplace.

  13. Learn Pandas Basics in Weekend
    Learn Pandas Basics in Weekend
    Learn Pandas in Weekend Part I.
    Hisham El-Amir

    This weekend, we will cover many fundamental operations of the Pandas. Many of the sections will be similar to those in Data Science Essentials if read.

  14. Data Science From Scratch (Part 1) — Advance Analytics

    Hands-on and written in jupyter notebook....feel the heat!

  15. Pre-Historic Photos of Fossils from Myanmar (Burma)

    Fossils of pre-historic creatures in South-East Asia had recently been an interest as they answer the pre-historic existence and possibility of many more to the already established scientific understandings.