A compilation of my articles on the topic of Machine learning Interpretability. Source: Human-Centered Machine Learning by Jess Holbrook Have you ever wondered why an important e-mail of yours was marked… Read more Human-Centric & Interpretable Machine Learning →
An overview of the process of designing and building a recommendation system pipeline. Photo by Pixabay from Pexels Too few choices are bad but too many choices can lead to paralysis… Read more Recommendation Systems in the Real world →
An overview of GoogleAI’s model Interpretability technique in terms of human-friendly concepts. How convolutional neural networks see the world It’s not enough to know if a model works, we need to… Read more TCAV: Interpretability Beyond Feature Attribution →
An open source tool from Google to easily analyze ML models without the need to code. Photo by Pixabay from Pexels Good practitioners act as Detectives, probing to understand their model better¹ In… Read more Using What-If Tool to investigate Machine Learning models. →
Using the matplotlib library to create some interesting animations. Rain Simulation with Matplotlib Animations are an interesting way of demonstrating a phenomenon. We as humans are always enthralled by animated… Read more Animations with Matplotlib →
Photo by George Becker from Pexels The best way of learning anything is by doing. What do you do after you have completed hundreds of MOOCs, consumed thousands of books and notes… Read more Top Competitive Data Science Platforms other than Kaggle →
