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
Physicists have an unfair advantage getting into machine learning β All applied scientists have a leg up for working with data, but physicists have 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 πΈ setting freelancer rates π€ communicating with colleagues π and stakeholders Here's the system I use to classify
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
People pretend it's enlightened to not have worked on Kaggle. Kaggle is a platform that grew out of a machine learning competition website. Competitions
In December 2020, corporate Ethical AI imploded. Timnit Gebru was fired from Google over a paper that criticised large language models. Shortly after, her