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What I Learned From Convergence 2022

What I Learned From Convergence 2022

Last week, I attended Comet ML’s Convergence virtual event. The event features presentations from data science and machine learning experts, who shared their best practices and insights on developing and implementing enterprise ML strategies. There were talks discussing emerging tools, approaches, and workflows that can help you effectively manage an ML project from start to finish.

In this blog recap, I will dissect content from the event’s technical talks, covering a wide range of topics from testing models in production and data quality assessment to operational ML and minimum viable model.

Datacast Episode 54: Information Retrieval Research, Data Science For Space Missions, and Open-Source Software with Chris Mattmann

Datacast Episode 54: Information Retrieval Research, Data Science For Space Missions, and Open-Source Software with Chris Mattmann

Chris Mattmann is the Chief Technology and Innovation Officer at NASA JPL. He is also JPL's first Principal Scientist in the area of Data Science. He has over 19 years of experience at JPL and has conceived, realized, and delivered the architecture for the next generation of reusable science data processing systems for NASA's space and earth science missions.

He contributes to open source and was a former Director at the Apache Software Foundation (2013-18).

Finally, he is the Director of the Information Retrieval & Data Science (IRDS) group at USC and Adjunct Associate Professor.

Datacast Episode 45: Teaching Artificial Intelligence with Amita Kapoor

Datacast Episode 45: Teaching Artificial Intelligence with Amita Kapoor

Amita Kapoor is an Associate Professor in a college at the University of Delhi. She has 20+ years of teaching experience. She is the co-author of various best-selling books in the field of Artificial Intelligence and Deep Learning. A DAAD fellow, she has won many accolades, with the most recent Intel AI Spotlight award 2019 in Europe. As an active researcher, she has more than 50 publications in international journals and conferences. She is extremely passionate about using AI for the betterment of society and humanity in general.

Datacast Episode 35: Data Science For Food Discovery with Ankit Jain

Datacast Episode 35: Data Science For Food Discovery with Ankit Jain

Ankit Jain is a senior research scientist at Uber AI Labs, the machine learning research arm of Uber. His work primarily involves the application of deep learning methods to a variety of Uber’s problems ranging from food delivery, fraud detection to self-driving cars. Previously, he worked in a variety of machine learning roles at Facebook, Bank Of America, and other startups. He co-authored a book on machine learning titled TensorFlow Machine Learning Projects. Additionally, he’s been a featured speaker in many of the top AI conferences and universities and has published papers in several top conferences like NeurIPs and ICLR. He earned his MS from UC Berkeley and BS from IIT Bombay.