Books

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 

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

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!

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.  

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.

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 !

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...

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.

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...

Essential Python libraries and frameworks that every aspiring data scientist, ML engineer, and Python developer should know.

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.

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!

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

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