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Category: "Data Science"

Books

  1. The Elements of Data Analytic Style (日本語版)
    The Elements of Data Analytic Style (日本語版)
    データを分析したい人向けのガイド。
    Jeff Leek and TranslateAI
    No Description Available
  2. How to be a modern scientist (한국어판)

    현대의 오픈 소스 방식으로 과학자가 되는 방법에 대한 책입니다.

  3. How to be a modern scientist (Polskie Wydanie)

    Książka o tym, jak być naukowcem we współczesny, otwarto-źródłowy sposób.

  4. How to be a modern scientist (繁體中文版)

    關於如何以現代、開源方式成為科學家的書籍。

  5. How to be a modern scientist (Edição em Português Brasileiro)

    Um livro sobre como ser um cientista à maneira moderna e de código aberto.

  6. How to be a modern scientist (Deutsche Ausgabe)

    Ein Buch darüber, wie man auf moderne, Open-Source-Weise Wissenschaftler wird.

  7. How to be a modern scientist (日本語版)

    現代のオープンソース方式で科学者になる方法についての本。

  8. Applied Causal Inference
    Applied Causal Inference
    Mitch Naylor, Uday Kamath, and Kenneth Graham

    Recent advancements in causal inference have made it possible to gain profound insight about our world and the complex systems which operate in it. Industry professionals and academics in every domain ask questions of their data, but traditional statistical methods often fall short of providing conclusive answers. This is where causality can help.

  9. Zaman Serileri ve Finans

    Zaman serilerini ogrenip finans tekniklerini gormeye hazir miyiz? Bu kitap tum bu konulari isleyecek.

  10. Statistics by Tajamul Khan
    Statistics by Tajamul Khan
    Data Analysis for Better Decision Making
    Tajamul Hassan Khan

    "Statistics By Tajamul Khan" is a groundbreaking textbook designed to demystify the world of statistics and empower readers with essential analytical skills.

  11. Stream Processing: Hands-on with Apache Flink

    Get onboard this journey into the land of streams. This is a complete hands-on book about Apache Flink, that follows real-life use cases and will help you learn how to create scalable end-to-end stream processing pipelines.

  12. Machine Learning in Python for Dynamic Process Systems
    Machine Learning in Python for Dynamic Process Systems
    A practitioner’s guide for building process modeling, predictive, and monitoring solutions using dynamic data
    Ankur Kumar and Jesus Flores Cerrillo

    This book provides a comprehensive coverage of ML methods that have proven useful in process industry for dynamic process modeling. Step-by-step instructions, supported with industry-relevant case studies, show how to develop solutions for process modeling, process monitoring, etc., using classical and modern methods. Also available at Google Play 

  13. Learning Pandas 2.0
    Learning Pandas 2.0
    A Comprehensive Guide to Data Manipulation and Analysis for Data Scientists and Machine Learning Professionals
    GitforGits | Asian Publishing House

    Using Pandas 2.0, setting you on the path to becoming a data analysis powerhouse

  14. crish comic
    crish comic
    a comic guide on Conducting Researches that are Irresponsible ... but Statistically High-class!
    greu & duduq

    Prologue + Part 1 (PDF version) : In order to put an end to all the religious stuff, Alex - assisted by his girlfriend Nicole - sets out to prove that God doesn't exist with the help of a questionnaire... and boy, is he going to screw things up!

  15. ChatGPT for beginners
    ChatGPT for beginners
    A Quick Introduction to Prompt Engineering!
    Wasi

    This practical guide shows you how to harness ChatGPT and GPT-5 to boost productivity, create content, organize notes, and solve real-world problems efficiently.  Learn how to craft precise prompts, optimize responses, and apply AI ethically while avoiding common pitfalls like bias, repetitive outputs, and over-reliance. The book also covers the evolution of GPT models, the Transformer architecture, and essential techniques to maximize AI performance.  With hands-on examples, workflow integration tips, and insights into advanced AI tools, this guide empowers students, professionals, and hobbyists to confidently use AI in daily life.  Take control of AI, improve your efficiency, and explore new creative possibilities with this beginner-friendly, practical, and responsible guide to ChatGPT and GPT-5.