This repository curates valuable questions and answers related to deep learning, machine learning, reinforcement learning, and data science, sourced from platforms like Zhihu, Quora, Reddit, and Stack Exchange. It serves as a knowledge base for researchers, practitioners, and students seeking to deepen their understanding of these fields through community-driven insights and discussions.

How It Works

The project aggregates and categorizes insightful questions and answers, covering a broad spectrum of topics from foundational concepts and mathematical underpinnings to cutting-edge research, practical applications, and career advice. The content is organized into thematic sections, facilitating easy navigation and discovery of relevant discussions.

Quick Start & Requirements

This repository is a curated list of links and discussions, requiring no installation. Access is via a web browser.

Highlighted Details

• Extensive coverage of core ML/DL topics including Computer Vision, NLP, Reinforcement Learning, and Data Science.
• Includes discussions on research papers, books, datasets, learning methodologies, and mathematical foundations.
• Features practical advice on model tuning, experimental management, and career development in AI.
• Organized by specific sub-fields and question types for efficient browsing.

Maintenance & Community

The repository is maintained by bat67 and welcomes community contributions for new questions and answers.

Licensing & Compatibility

The repository itself does not contain code and is therefore not subject to software licensing. The linked content is governed by the terms of the respective source platforms.

Limitations & Caveats

The repository is a collection of links and discussions; the quality and accuracy of the information depend on the original sources. It is not a primary research or development platform.