Tag
The author shares their personal journey of finding a place in the AI field this year and thanks others for course recommendations that helped invest in skills and resources.
Yao Jingang's GEO public class has ended, providing links to resources such as the course summary article, GitHub project, example site, course materials, datasets, and paper repository.
A blog post recommending several classic Computer Science books, highlighting their value for programmers and learners through detailed descriptions.
Introduces a list on GitHub named Awesome Public Datasets, which compiles high-quality public datasets from around the world, helping data analysts save time searching for data.
The article suggests that the biggest winners from AI might be those who own scarce resources like land, energy, and infrastructure, rather than programmers.
This article compiles and shares various human interface guidelines from platforms like Apple, Amiga, and others, serving as a valuable resource for UI designers and developers.
This article shares a comprehensive GitHub repository called 'Awesome Robotics' that curates essential courses, books, software, conferences, and competitions for learning and advancing in robotics.
A GitHub repository aggregates dataset download sites for large model and generative AI training, covering text-to-text, text-to-image, and text-to-video, categorized by region and type, with both free and paid resources.
A tweet compiling engineering blogs from 40 top tech companies for learning system design and architecture from real-world production playbooks.
Recommends 6 websites worth bookmarking long-term, including GitHub Trending, Product Hunt, Google AI Studio, Hugging Face Spaces, MIT OpenCourseWare, and Figma Community, to help reduce information asymmetry.
Promotion of 'Patterns, Predictions, and Actions: Foundations of Machine Learning' by Moritz Hardt and Benjamin Recht as a free PDF download. The book covers machine learning from fundamentals to societal impact.
A curated list of resources for agentic engineering, intentionally kept small and frequently updated to prevent obsolescence.
A quantitative finance expert systematically explained the practical use of Python in quantitative finance at PyData, covering tools such as NumPy, SciPy, Pandas, Numba, and recommended the open-source library DX Analytics and the resource list awesome-quant.
A tweet highlights 7 popular GitHub repositories for developers to learn by building real projects, including Build Your Own X and Public APIs.
An account (@oprydai) promotes itself as a resource for those learning various robotics topics including actuators, sensors, kinematics, control, ROS2, SLAM, drones, and more.
Promotes an 'AI Expert Roadmap' repository that provides structured learning paths for AI, ML, deep learning, data engineering, big data, and data science.
A curated list of books, lectures, and online courses for building a mathematical foundation for AI and machine learning, including popular resources like 'Mathematics for Machine Learning' and Khan Academy courses.
This paper examines the resources available on Saturn's moon Titan, including hydrocarbons, nitrogen, and water ice, and discusses their potential for in-situ utilization to support long-duration missions or habitats, comparing with lunar and Martian resource potential.
A guide on how to identify important topics to learn in AI by analyzing job listings and finding resources via RSS feeds and following experts. Emphasizes tracking in-demand skills and avoiding fads.
A curated GitHub repository aggregating frameworks, tools, attack matrices, red team guides, policy templates, datasets, and research for securing AI systems, covering topics like prompt injection, jailbreaking, and OWASP/NIST standards.