Human labels are biased, but even worse than you think. Your machine learning models aren't performing well? ML engineers need to learn from radiologists to
Start your first research project applying machine learning to real-world data in 2022 AI and machine learning are super intimidating. BUT On these 3 websites you
Gauging how hard a project is, is important in 💸 setting freelancer rates 🤝 communicating with colleagues 📈 and stakeholders Here's the system I use to classify
R2, MSE, L1, MAE... WTF? The right metric makes or breaks your machine learning model Especially in real-world applications! Here's how to make your model perform
You're using Kaggle wrong. Get the maximum out of the platform. Learn from a bunch of #datascience and #machinelearning professionals. Explore free applied expert courses
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
