Data Science
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- crish comica 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!
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.
- Introduction to Algorithms & Data Structures 2A solid foundation for the real world of machine learning and data analyticsBolakale 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.
- BD crishou Comment mener des Recherches Irresponsables avec un peu de Stat... et beaucoup trop d'Herbegreu & 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 !
- Introduction to Algorithms and Data StructuresA solid foundation for the real world of machine learning and data analyticsBolakale 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...
- The McGinty EquationUnifying Quantum Field Theory and Fractal Theory to Understand Subatomic Particle BehaviorChris 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.
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...
- Building reproducible analytical pipelines with RBruno Rodrigues, Phd
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.
- Introduction To Conformal Prediction With PythonA Short Guide For Quantifying Uncertainty Of Machine Learning ModelsChristoph Molnar
This book teaches you how to quantify the uncertainty of machine learning models with conformal prediction in Python.
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.
- Extended Windows Memory Dump AnalysisUsing and Writing WinDbg Extensions, Database and Event Stream Processing, Data Science and Visualization, Machine Learning and AI, Second EditionDmitry 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.
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- Interaction Data AnalyticsMethods, Tools, and ApplicationsVagner 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.
" 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."
