Towards Directive Explanations
Crafting Explainable AI Systems for Actionable Human-AI Interactions ACM CHI 2024 Pre-print of the paper: https://arxiv.org/abs/2401.04118
EXMOS: Explanatory Model Steering
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations – ACM CHI 2024
Directive Explanations for Monitoring the Risk of Diabetes Onset – ACM IUI 2023
Presented at ACM IUI 2023 in Sydney, Australia: https://iui.acm.org/2023/accepted_papers.html About Me: I am an Explainable AI Researcher from India working in KU Leuven, Belgium. PROFESSIONAL SUMMARY✫ Experienced Data Scientist and AI/ML Engineer with 7+ years of experience in Data Science, Machine Learning, IoT, and Software Development with 2 years of people management experience.✫ Author of…
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Enrich your knowledge on Explainable AI from my book Applied Machine Learning Explainability Techniques
Learn how to bridge the gap between AI and non-technical consumers of AI by building Explainable AI systems from this book On July 29th, 2022, my book on Applied Machine Learning Explainability Techniques was launched world wide from Packt publishing on the technical topic of Explainable AI (XAI). XAI is an emerging field for bringing…
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Daily Dose of Data Science – Day 10 – Quick tips for preparing for Data Science interviews
Today marks the 10th day of Daily Dose of Data Science series! Since the last 10 days you have been getting certain tips, ideas and recommendations about various aspects of the Data Science process for all level of Data Science and Machine Learning enthusiasts. Considering my experience from the field, today I wanted to share some…
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Daily Dose of Data Science – Day 9 – Publishing content from Jupyter Notebooks made easy using Notebook-as-PDF
Welcome to day 9 of the Daily Dose of Data Science series! Jupyter notebooks has inarguably one of the most widely used IDEs for programming in Python, particularly for Data Science and for Machine Learning related use cases. But for publishing content, converting Jupyter Notebooks directly to PDF was not an easy option before until the…
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Daily Dose of Data Science – Day 8 – Scenarios in which Transfer Learning may not work
In one of the previous editions of Daily Dose of Data Science I had talked about how TensorFlow Hub can accelerate modeling of unstructured data using the concept of transfer learning. But there are many possible scenarios in which Transfer Learning may not be the most effective option to go for. In this post, I will…
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Daily Dose of Data Science – Day 7 – Machine Learning made easy with FLAML
It’s time for today’s Daily Dose of Data Science! Automated Machine Learning has been a hot topic since the last two years! Today, you will get to know about Fast and Lightweight AutoML from Microsoft called FLAML. Let’s dive in to know more. FLAML is a lightweight Python framework which helps you to perform and execute…
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Daily Dose of Data Science – Day 6 – An easy approach to extract Keywords from paragraphs using KeyBERT
Welcome everyone for yet another Daily Dose of Data Science! For day 6, we will explore the world of natural language for the use case of keyword extraction from text using the BERT based architecture called KeyBERT. Let’s get started! KeyBERT is an open source Python framework with minimal and easy-to-use keyword extraction technique that…
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Daily Dose of Data Science – Day 5 – Attractive data visualizations in Python using Matplotlib styles and Plotly
Its time to take your Daily Dose of Data Science! Today it will be a very light dose on an important topic of attractive data visualization in Python using Matplotlib styles and Plotly. Let’s dive in to know more! Data visualization, story telling and reporting are important skills for any data scientist. It is an…
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