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During the past few months, Iâve spent time interviewing great practitioners, researchers and kagglers.
This post serves as an index or Meta-Article with a link to all of the interviews that Iâve conducted. Iâll keep updating this post as the interviews happen.
Photo by Michael Browning on Unsplash
About the Series:
I have very recently started making some progress with my Self-Taught Machine Learning Journey. But to be honest, it wouldnât be possible at all without the amazing community online and the great people that have helped me.
In this Series of Blog Posts, I talk with People that have really inspired me and whom I look up to as my role-models.
The motivation behind doing this is, you might see some patterns and hopefully youâd be able to learn from the amazing people that I have had the chance of learning from.
Interviews in Alphabetical order:
Aakash Nain: Kaggle Kernels Expert
Dr. Adrian Rosebrock: Author of PyImageSearch and Computer Vision Practitioner
Andrew Trask: Deep Learning Researcher and Leader of OpenMined
Christine McLeavey Payne: OpenAIÂ Fellow
François Chollet: The Creator of Keras, AI Researcher
Dr. Ian Goodfellow: Deep Learning Researcher and The GANfather
Dr. Jean-Francois Puget (CPMP): Twice Kaggle Grandmaster
Dr. Marios Michailidis: Kaggle Competitions Grandmaster: KazAnova (Rank #3)
Mikel Bober-Irizar (anokas): The Youngest Kaggle Grandmaster
Dr. Rachel Thomas: Co-Founder and Researcher at Fast.ai
Sebastian Ruder: Deep Learning and NLP Researcher
Tuatini Godard: Deep Learning Freelancer
If you found these interviews interesting and would like to be a part of My Learning Path, you can find me on Twitter here.
If youâre interested in reading about Deep Learning and Computer Vision news, you can checkout my newsletter here.
Interviews with Machine Learning Heroes was originally published in Hacker Noon on Medium, where people are continuing the conversation by highlighting and responding to this story.
Disclaimer
The views and opinions expressed in this article are solely those of the authors and do not reflect the views of Bitcoin Insider. Every investment and trading move involves risk - this is especially true for cryptocurrencies given their volatility. We strongly advise our readers to conduct their own research when making a decision.