This repository serves as a curated, opinionated guide for learning machine learning (ML) and artificial intelligence (AI). It targets individuals seeking to understand ML concepts, discover relevant tools, and adopt an "ML lifestyle," offering a structured path from foundational AI to advanced deep learning techniques and MLOps.

How It Works

The curriculum is organized thematically, covering Machine Learning in General, Reinforcement Learning, Deep Learning (including CNNs and RNNs), MLOps, and specific areas like Time Series Inference and AutoML. It provides a comprehensive list of recommended courses, books, blogs, influential figures, and cutting-edge research publishers, prioritizing practical, high-quality, and up-to-date resources.

Quick Start & Requirements

This is a curated list of resources, not a software package. No installation is required. The primary requirement is an interest in learning machine learning. Links to external courses, books, and repositories are provided throughout the README.

Highlighted Details

• Extensive coverage of core ML concepts, deep learning architectures, and practical MLOps tools.
• Includes opinionated recommendations for learning materials and influential researchers.
• Features sections on prompt engineering, AutoML, and data-centric AI practices.
• Provides links to cloud GPU providers and data storage solutions relevant to ML workflows.

Maintenance & Community

The repository is maintained by offchan42 and is regularly updated to remove outdated content and deprecated tools. Contributions are welcomed via pull requests or issues.

Licensing & Compatibility

The repository itself is not software and does not have a license. The linked resources may have their own licenses, with many being freely accessible for study.

Limitations & Caveats

The list is explicitly "opinionated" and reflects the maintainer's personal ML journey, potentially excluding resources not aligned with their preferences. The sheer volume of links may lead to information overload for beginners, though a specific issue is linked for guidance.