Learning

the k-NN Regressor and the thought of prediction based on distance, we now take a look at the k-NN Classifier. The principle is identical, but classification allows us to introduce several useful variants, reminiscent...

to this “Advent Calendar” of Machine learning and deep learning in Excel. For Day 1, we start with the k-NN (k-Nearest Neighbors) regressor algorithm. And as you will notice, this is absolutely the best...

You wrote many beginner and explanatory articles on TDS. Has teaching the basics modified the way you design or debug real systems at work? I notice the correlation between the more I teach something, the...

, it is rather easy to coach any model. And the training process is at all times done with the seemingly same method fit. So we get used to this concept that training any...

Within the previous article of this series, operation in all fields of computer science: matrix multiplication. It's heavily utilized in neural networks to compute the activation of linear layers. Nevertheless, activations on their...

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,...

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 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...