Browsing: Data Science
One image can be worth thousands of words.Image by authorA confusion matrix is a convenient way to present the types of mistakes a machine learning mode…
Analysing 30 years of Olympic Games medals distribution and national wealth indicators13 min read·16 hours agoImage generated by the author using GPT-4oA lifetime ago, I was…
Understanding ratios is key to unlocking deeper insights into your business’s health and driving smarter decision-makingImage by Jill Wellington from PixabayImagine you’re a farmer with two…
Monotonic constraints are key to making machine learning models actionable, yet they are still quite unusedContinue reading on Towards Data Science » Source link
Taipy is a framework for building Data Science and AI web apps in Python. As such, it is a competitor to the likes of Streamlit or…
My goal is to cover the 3Ps: People, Projects and Process. In that order of importance. And my target is the “50:50” rule.Photo by Djim Loic…
Learnings as an AI & Robotics Associate Editor with 100 Peer ReviewsPhoto by Annie Spratt on UnsplashI will share what I have learnt about the academic…
Dissecting “Reinforcement Learning” by Richard S. Sutton with Custom Python Implementations, Episode IIIWe continue our deep dive into Sutton’s great book about RL [1] and here…
This is part 3 of my new multi-part series 🐍 Towards Mamba State Space Models for Images, Videos and Time Series.Mamba, the model to be said…
Revisiting CPU for ML in an Era of GPU ScarcityPhoto by Quino Al on UnsplashThe recent successes in AI are often attributed to the emergence and…