Learning

Easy methods to Crack Machine Learning System-Design Interviews

system design interviews are a core a part of the hiring process at firms like Meta, Apple, Reddit, Amazon, Google, Snap, and lots of others. These interviews vary widely — some focus more on software architecture,...

The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)

of the universe (made by one of the vital iconic singers ever) says this: Wish I could returnAnd alter these yearsI’m going through changesBlack sabbath – Changes This song is incredibly powerful and talks about...

The Reinforcement Learning Handbook: A Guide to Foundational Questions

the basic concepts you'll want to know to know Reinforcement Learning! We'll progress from absolutely the basics of “” to more advanced topics, including agent exploration, values and policies, and distinguish between popular training...

Deep Reinforcement Learning: 0 to 100

the way you’d teach a robot to land a drone without programming each move? That’s exactly what I got down to explore. I spent weeks constructing a game where a virtual drone has...

Machine Learning Meets Panel Data: What Practitioners Must Know

Authors: Augusto Cerqua, Marco Letta, Gabriele Pinto learning (ML) has gained a central role in economics, the social sciences, and business decision-making. In the general public sector, ML is increasingly used for so-called prediction policy...

Learning Triton One Kernel at a Time: Matrix Multiplication

multiplication is undoubtedly probably the most common operation performed by GPUs. It's the elemental constructing block of linear algebra and shows up across a large spectrum of various fields equivalent to graphics, physics...

Preparing Video Data for Deep Learning: Introducing Vid Prepper

to preparing videos for machine learning/deep learning. As a consequence of the scale and computational cost of video data, it's vital that it's processed in as efficient a way possible to your use...

Learning Triton One Kernel At a Time: Vector Addition

, slightly optimisation goes a great distance. Models like GPT4 cost greater than $100 tens of millions to coach, which makes a 1% efficiency gain price. A robust strategy to optimise the efficiency of...

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