In 2017 I built my first neural network from scratch. No imports, no libraries, just raw Matlab and a course assignment. In fact, the

Quantum computers sound like the future. Can you imagine how surprised I was that they exist and companies like Google are actively working on

In April 2020, something peculiar happened on Reddit. The machine learning subreddit is usually filled with good discussions, links to papers, interesting videos, some

It's tempting to go down the rabbit hole. There's always another library to learn, whether it's Scikit-learn, Pytorch, Tensorflow, Huggingface, cv2, NLTK, spaCy. There

Many people think Kaggle is just a competition platform. This could not be further from the truth. The platform has grown to include amazing

Jesper Dramsch deep learning, machine learning, nowcasting, numerical weather prediction, read in 7 minutes

Weather forecasting is an interesting beast. Deepmind have now published a paper that uses classical radar data and deep learning to improve short-term weather

The Double Descent hypothesis is an interesting quirk of statistics and deep learning. It explains why smalller models aren't always worse and larger models

The Winning Lottery Ticket Hypothesis is a fun hypothesis in deep learning. Essentially, the hypothesis states that a neural network contains a smaller subset

Do you think you have to spend the big bucks to start your machine learning journey? I don't think you do! Let's see how you

Many researchers hear about the huge hardware clusters that companies use for machine learning and AI. When you get started and even start

You almost immediately learn about transfer learning when you take the fast.ai course. This is no mistake! Transfer learning gets you started in