Learning

Tips on how to Plan for Your Next Profession Move in Data Science and Machine Learning

Feeling inspired to put in writing your first TDS post? We’re all the time open to contributions from latest authors.Data science and machine learning professionals are facing uncertainty from multiple directions: the worldwide economy,...

Reinforcement Learning, Part 5: Temporal-Difference Learning

Intelligently synergizing dynamic programming and Monte Carlo algorithms15 min read·15 hours agoReinforcement learning is a website in machine learning that introduces the concept of an agent learning optimal strategies in complex environments. The agent...

Using deep learning to image the Earth’s planetary boundary layer

Although the troposphere is commonly considered the closest layer of the atmosphere...

MIT faculty, instructors, students experiment with generative AI in teaching and learning

How can MIT’s community leverage generative AI to support learning and work...

From Prompt Engineering to Few-Shot Learning: Enhancing AI Model Responses

Artificial Intelligence (AI) has witnessed rapid advancements over the past few years, particularly in Natural Language Processing (NLP). From chatbots that simulate human conversation to classy models that may draft essays and compose poetry,...

My learning to being hired again after a 12 months… Part I

For anyone job hunting, not only tech folksProceed reading on Towards Data Science »

Meta yields to the brakes of ‘Don’t use SNS user data for unauthorized AI learning’… “AI launch in EU on hold”

Meta bowed to the European Union's (EU) policy to stop unauthorized learning of artificial intelligence (AI) using SNS user data. Meta announced that it could postpone the launch of 'Meta AI' within the...

Deep Reinforcement Learning: Toward Integrated and Unified AI

Can AI provide a lens on human intelligence?Proceed reading on Towards Data Science »

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