Data and AI Concepts by @AIinMinutes

Data and AI Concepts by @AIinMinutes#

Welcome to a comprehensive collection of Data Science and AI concepts, originally shared on @AIinMinutes. This interactive book covers topics ranging from foundational mathematics to cutting-edge generative AI, designed to support both learners and professionals in the field of data science.

What’s Inside?#

This book is organized into several key areas:

Generative AI 🤖#

From causal attention to variational autoencoders, explore the fundamental concepts powering modern generative AI systems.

Machine Learning 🔧#

Core concepts including clustering, feature selection, and model evaluation metrics.

Deep Learning 🧠#

Essential topics like focal loss, Jensen’s inequality, and temperature scaling.

Interpretable AI 🔍#

Methods for making AI systems more transparent and interpretable.

Statistics 📊#

A comprehensive coverage of statistical concepts across three domains:

  • Applied Statistics: Practical statistical methods and metrics

  • Multivariate Statistics: Advanced techniques for multiple variables

  • Mathematical Statistics: Theoretical foundations

Programming and Visualization 💻#

Practical implementations and visualization techniques for data science.

How to Use This Book#

Each chapter contains interactive Jupyter notebooks that you can:

  • Read online as rendered pages

  • Download and run locally

  • Use as reference material for interviews and professional work

The concepts covered here are carefully curated from real-world applications, interview questions, and academic experiences. They’re designed to stimulate deeper understanding and provoke thoughtful discussions about data science and AI.

Contributing#

This is a living document that grows with the @AIinMinutes community. If you find these concepts helpful, follow along on Threads for regular updates and discussions.

Let’s embark on this journey of understanding the fundamental concepts that power modern Data Science and AI systems. 🚀

Contents