AI can write useful code, but it can also produce unusable garbage. Here's my advice on making the most of AI from my many adventures in coding.

Struggling to understand how logistic regression works with gradient descent ... derivation step-by-step, so you can truly grasp this core machine learning algorithm. Perfect for students and ...

AI I tried these 11 ChatGPT tips — and they take my prompts to the next level ChatGPT I write about AI for a living — here's my top 5 ChatGPT prompt tips AI I’m a ChatGPT power user — 9 ...

However, the gradient descent algorithms need to update variables one by one to calculate the loss function with each iteration, which leads to a large amount of computation and a long training time.

Let’s assume you have a technology that relies on an algorithm that goes A-B-C. Then someone comes across it and adds an extra step. Their algorithm goes A-A1-B-C and they argue that this ...

Unlike the metaphorical mountaineer, optimization researchers can program their gradient descent algorithms to take steps of any size. Giant leaps are tempting but also risky, as they could overshoot ...

The pseudocode of the CatBoost algorithm ... steps are as follows: First, 15 channel data on each sample in each type of fault data are connected in series to conduct data preprocessing and then ...