Leanpub Header

Skip to main content

Filters

Category: "Data Science"

Books

  1. Introduction to Algorithms & Data Structures 2
    Introduction to Algorithms & Data Structures 2
    A solid foundation for the real world of machine learning and data analytics
    Bolakale Aremu

    Learning algorithms and data structures from this book will help you become a better programmer. Algorithms and data structures will make you think more logically. Furthermore, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving.

  2. BD crish
    BD crish
    ou Comment mener des Recherches Irresponsables avec un peu de Stat... et beaucoup trop d'Herbe
    greu & duduq

    Prologue + Partie 1 (version PDF) : Afin d’en finir avec toutes les histoires de religions, Alex - assisté de sa petite amie Nicole - se met en tête de prouver l’inexistence de Dieu à l’aide d’un questionnaire... et boudiou qu’il va foutre la merde !

  3. Introduction to Algorithms and Data Structures
    Introduction to Algorithms and Data Structures
    A solid foundation for the real world of machine learning and data analytics
    Bolakale Aremu

    Learning algorithms and data structures from this book will help you become a better programmer. Algorithms and data structures will make you think more logically. Furthermore, they can help you design better systems for storing and processing data. They also serve as a tool for optimization and problem-solving.As a result, the concepts of algor...

  4. The McGinty Equation
    The McGinty Equation
    Unifying Quantum Field Theory and Fractal Theory to Understand Subatomic Particle Behavior
    Chris McGinty

    Beyond practical applications, the McGinty Equation underscores the beauty and elegance of physics, demonstrating how theoretical concepts can be used to solve complex problems and uncover new truths about the universe. Its potential applications extend beyond quantum mechanics and into other fields, such as biology, finance, and computer science.

  5. Les tableaux croisés dynamiques avec Excel
    Les tableaux croisés dynamiques avec Excel
    Un guide visuel détaillé
    Bolakale Aremu

    Il est largement admis que près de 60% des utilisateurs d’Excel laissent 80% d’Excel intact. Autrement dit, la plupart des utilisateurs n’exploitent pas tout le potentiel des utilitaires intégrés d’Excel. Parmi ces utilitaires, les plus prolifiques sont de loin le tableau croisé dynamique et les graphiques croisés dynamiques. Malgré le fait que...

  6. Interpreting Machine Learning Models With SHAP
    Interpreting Machine Learning Models With SHAP
    A Guide With Python Examples And Theory On Shapley Values
    Christoph Molnar

    Master machine learning interpretability with this comprehensive guide to SHAP – your tool to communicating model insights and building trust in all your machine learning applications.

  7. Building reproducible analytical pipelines with R

    Build reproducible analytical pipelines to output consistent, high-quality data products using R, Github and Docker. Learn about functional and literate programming to keep your code concise, easier to test and share and easily understandable by others by packaging it. Run your pipelines on Github Actions and focus on what matters: analysing data!

  8. A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)

    This book introduces you to the 42 most commonly used machine learning algorithms in an understandable way.

  9. Introduction To Conformal Prediction With Python
    Introduction To Conformal Prediction With Python
    A Short Guide For Quantifying Uncertainty Of Machine Learning Models
    Christoph Molnar

    This book teaches you how to quantify the uncertainty of machine learning models with conformal prediction in Python.

  10. Data Cleaning: The Ultimate Practical Guide
    Data Cleaning: The Ultimate Practical Guide
    From Dirty Data to Clean Data
    Lee Baker

    Data Cleaning: The Ultimate Practical Guide is a guide to understanding what dirty data is, and how it gets into your dataset.This book will help you prevent most types of dirty data getting into your dataset, and clean out quickly and efficiently the remaining errors, so you can have clean, fit-for-purpose and analysis-ready data.

  11. Extended Windows Memory Dump Analysis
    Extended Windows Memory Dump Analysis
    Using and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Machine Learning and AI, Second Edition
    Dmitry Vostokov

    The book contains the full transcript of Software Diagnostics Services training with 25 hands-on exercises. This training course extends pattern-oriented analysis introduced in Accelerated Windows Memory Dump Analysis, Accelerated .NET Core Memory Dump Analysis, and Advanced Windows Memory Dump Analysis with Data Structures.

  12. Time series analysis with Python
    Time series analysis with Python
    A step-by-step guid from basic to advanced
    Khaled DELLAL
    No Description Available
  13. Interaction Data Analytics
    Interaction Data Analytics
    Methods, Tools, and Applications
    Vagner Figueredo de Santana and M Cecilia C Baranauskas

    Most of the analytics tools available focus on assessing customer clicks, but have you ever thought about how little we know about what happens in between clicks? In this book we present methods, tools, and applications so that you can start uncovering the value of multiple interaction data available when people interact with computing systems.

  14. Hypothesis Testing
    Hypothesis Testing
    The Simplest Guide In The Cosmos
    Lee Baker

    Hypothesis Testing - The Simplest Guide In The Cosmos is a series of 6 short, snappy editable books that will help you reach the right conclusions about your data.These books make no assumptions about your previous experience and are perfect for beginners and those just getting started with hypothesis testing.

  15. A revolução dos chatbot.
    A revolução dos chatbot.
    Aplicações dos assistentes digitais na saúde.
    guilherme camara

    " Avaliação de sintomas clínicos categoria dos chatbots que atuam com avaliação de sintomas e indicações de melhores cuidados, possíveis diagnósticos. Atua na orientação de pacientes sobre os sintomas e possíveis ações quando o profissional de saúde não está disponível."