Machine Learning Podcast - Jay Shah: Recent Episodes
Jay Shah
Talks with young engineers working in Machine Learning and AI research on how to get started and breakthrough it.
jayshah.substack.com
Siddha is a self-driving architect at NVIDIA and she also guides teams at NASA as an AI domain expert. She was featured on the Forbes 30 under 30 list in 2019.
Previously, she developed deep learning models for resource-constrained edge devices at DeepVision. She earned her Master's degree from Carnegie Mellon University, and her work ranges from visual question answering to generative adversarial networks to gathering insights from CERN’s petabyte-scale data and has been published at top-tier conferences including CVPR and NeurIPS.
About the Host:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Subscribe at jayshah.substack.com
Vidhan shares what intrigued him about Machine Learning as a student at CMU and how he built up his profile learning from experiences and exploring landing him a job in research at Microsoft.
Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Full episode with Deedy available here: https://youtu.be/Vn79br3mKZM
Debarghya (Deedy) currently a Founding Engineer at a Stealth Startup is a computer science graduate from Cornell University. He has previously worked and interned at Google, Facebook and Coursera. In this podcast we talk about various computer science roles in industry: research, software engineering, product management, and doing a PhD or not.
Also check-out these talks on all available podcast platforms: https://jayshah.buzzsprout.com
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Full episode with Shashank available here: https://youtu.be/jysvEYGggFE
About the Speaker:
Shashank works with several other Machine Learning Engineers at @Google on Computer Vision and Perception projects. He graduated from@Arizona State University in 2018 and has a great experience working in various domains of Machine Learning and Data Science.
Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Ganesh works at MGH and BWH Center for Clinical Data Science, revolutionizing healthcare using Artificial Intelligence. He has experience working with Deep Learning algorithms, Data Visualizations and scalable distributed systems.
Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
As a Machine Learning Instructor, Ajinkya talks about how building applications and complementing your engineering skills with creativity and interest is more important than merely focusing on the mathematics of algorithms. And that is what the new every day changing ML industry might demand!
Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Jineet, a Data Scientist at Intuit and a graduate from Carnegie Mellon University shares some amazing insights about data science and machine learning probing his experiences.
LinkedIn: https://www.linkedin.com/in/jineetdoshi/
Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Why being a Tech-God is not enough. Thoughts from Shraddha Patel, CMU Grad, and a Business Analytics Consultant at Servian, Australia.
Our aim of these webinars is to connect you with the brightest minds in the field of Machine Learning/Data Science so that you can learn how to break into the field and build an incredible career!
About the Speaker:
Shraddha is a recent graduate of CMU with a focus on Business Intelligence and Data Analytics. She has work experience as a Software Development Engineer and Machine Learning Engineer and shared with us some of the insights as she paved her way to being a consultant.
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Shashank works with several other Machine Learning Engineers at Google on Computer Vision and Perception projects. He graduated from Arizona State University in 2018 and has a great experience working in various domains of Machine Learning and Data Science.
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
Vaibhavi Desai, Community Manager, Developer Relations Southeast Asia at Google. She designs programs on Machine Learning and Data Science at Google, working with several Machine Learning Engineers and nurturing communities around various other developer programs.
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.
SHOW LESS
We were thrilled to interview Devanshu Jain, Software Engineer at YouTube, on our first episode of Machine Learning for Beginners!
Our aim of these webinars is to connect you with the brightest minds in the field of ML/DS so that you can learn how to break into the field and build an incredible career!
Speaker:
Devanshu works on Home Page recommendations at YouTube and has held experience of working in Uber and Amazon before.
Hosted by:
Jay Shah: https://www.linkedin.com/in/shahjay22/
You can reach out to https://www.public.asu.edu/~jgshah1/ for any queries.
Stay tuned for upcoming webinars!
Disclaimer: The information contained in this video represents the views and opinions of the speaker and does not necessarily represent the views or opinions of any institution. It does not constitute an endorsement by any Institution or its affiliates of such video content.