This repository serves as a curated collection of educational resources for individuals studying Computer Vision, Natural Language Processing, and MLOps. It aims to provide a centralized hub for learners to access a wide array of courses, books, articles, and videos, consolidating learning materials from various reputable sources.

How It Works

The project functions as a comprehensive, manually curated index of learning materials. It organizes resources into categories such as courses, books, articles, and videos, with specific sections dedicated to Computer Vision, Natural Language Processing, and MLOps. The primary benefit is the consolidation of diverse educational content into a single, easily navigable repository.

Quick Start & Requirements

This repository is a collection of links and does not require installation or execution. All resources are external.

Highlighted Details

• Covers 95% of Data Science skills with a structured learning path.
• Includes recommended books and video playlists from institutions like Stanford and OpenCV.
• Features resources on foundational mathematics, optimization, and specific ML techniques like GANs.
• Provides links to practical resources such as free datasets and ML system design use cases.

Maintenance & Community

The repository is maintained by ashishpatel26. Further community engagement or roadmap details are not explicitly provided in the README.

Licensing & Compatibility

The repository itself is a collection of links to external resources. The licensing of the individual resources linked within the repository would vary and is not specified here. Compatibility for commercial use or closed-source linking depends entirely on the licenses of the linked external content.

Limitations & Caveats

The repository is a static collection of links, and the currency or availability of external resources is not guaranteed. Some sections, particularly in the "Extra Resources" and "Articles" subsections, appear to have incomplete entries or placeholders.