TCAV: Interpretability Beyond Feature Attribution

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 know how it works: Sundar Pichai The emphasis today is slowly moving towards model interpretability rather than model predictions alone. The real essence of Interpretability, however, … Continue reading TCAV: Interpretability Beyond Feature Attribution

Using What-If Tool to investigate Machine Learning models.

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 this era of explainable and interpretable Machine Learning, one merely cannot be content with simply training the model and obtaining predictions from it. To be … Continue reading Using What-If Tool to investigate Machine Learning models.

Top Competitive Data Science Platforms other than Kaggle

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 and listened to a million people rant about their experience in Data Science? You start applying the concepts. The only way to apply machine learning … Continue reading Top Competitive Data Science Platforms other than Kaggle

Interpretable Machine Learning

Extracting human understandable insights from any Machine Learning model Originally published here. It’s time to get rid of the black boxes and cultivate trust in Machine Learning In his book ‘Interpretable Machine Learning’, Christoph Molnar beautifully encapsulates the essence of ML interpretability through this example: Imagine you are a Data Scientist and in your free time … Continue reading Interpretable Machine Learning

Image Segmentation using Python’s scikit-image module

An overview of the scikit-image library’s image segmentation methods. source Sooner or later all things are numbers, including images. People who have seen The Terminator would definitely agree that it was the greatest sci-fi movie of that era. In the movie, James Cameron introduced an interesting visual effect concept that made it possible for the … Continue reading Image Segmentation using Python’s scikit-image module

Is your Machine Learning Model Biased?

How to measure your model’s fairness and decide on the best fairness metrics. Photo by rawpixel on Unsplash Machine learning models are being increasingly used to make decisions that affect people’s lives. With this power comes a responsibility to ensure that the model predictions are fair and not discriminating. ProPublica, an independent, investigative journalism outfit, came out … Continue reading Is your Machine Learning Model Biased?