About this Show
Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms.
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field
Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3
Thursday Mar 09, 2023
Thursday Mar 09, 2023
Thursday Mar 09, 2023
Monday Feb 27, 2023
Monday Feb 27, 2023
In this episode, we dive into the fascinating world of zero-knowledge proofs and their impact on data science. Zero-knowledge proofs allow one party to prove to another that they know a secret without revealing the secret itself. This powerful concept has numerous applications in data science, from ensuring data privacy and security, to facilitating secure transactions and identity verification. We explore the mechanics of zero-knowledge proofs, its real-world applications, and how it is revolutionizing the way we handle sensitive information. Join us as we uncover the secrets of zero-knowledge proofs and its impact on the future of data science.
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Tuesday Feb 21, 2023
Tuesday Feb 21, 2023
Tuesday Feb 21, 2023
Deep learning methods are not as effective with tabular data. Here is why, and what to do about it.
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References
https://paperswithcode.com/methods/category/deep-tabular-learning
https://m-clark.github.io/posts/2022-04-01-more-dl-for-tabular/
Wednesday Feb 15, 2023
Wednesday Feb 15, 2023
Wednesday Feb 15, 2023
In this episode I speak about online learning systems and why blindly choosing such a paradigm can lead to very unpredictable and expensive outcomes.Also in this episode, I have to deal with an intruder :)
Links
Birman, K.; Joseph, T. (1987). "Exploiting virtual synchrony in distributed systems". Proceedings of the Eleventh ACM Symposium on Operating Systems Principles - SOSP '87. pp. 123–138. doi:10.1145/41457.37515. ISBN 089791242X. S2CID 7739589.
Thursday Jan 26, 2023
Thursday Jan 26, 2023
Thursday Jan 26, 2023
In this episode, I'll be discussing the capabilities and limitations of ChatGPT, an advanced language AI model. I'll go over its power to understand and respond to natural language, and its applications in tasks such as language translation and text summarization. However, I'll also touch on the challenges that still need to be overcome such as bias and data privacy concerns. Tune in for a comprehensive look at the current state of advanced language AI.
References
https://datascienceathome.com/have-you-met-shannon-conversation-with-jimmy-soni-and-rob-goodman-about-one-of-the-greatest-minds-in-history/
Saturday Jan 14, 2023
Saturday Jan 14, 2023
Saturday Jan 14, 2023
In this episode I am with Kevin McNamara, founder and CEO of Parallel Domain. We speak about a very effective method to generate synthetic data that is currently in production at Parallel Domain.
Enjoy the show!
References
Parallel Domain Synthetic Data Improves Cyclist Detection (blog post):
https://paralleldomain.com/parallel-domain-synthetic-data-improves-cyclist-detection/
Beating the State of the Art in Object Tracking with Synthetic Data:
https://paralleldomain.com/beating-the-state-of-the-art-in-object-tracking-with-synthetic-data/
Parallel Domain Open Synthetic Dataset:
https://paralleldomain.com/open-datasets/bicycle-detection
How Toyota Research Institute Trains Better Computer Vision Models with PD Synthetic Data (interview):
https://www.youtube.com/watch?v=QIYttoVxf2w
Career Opportunities:
https://paralleldomain.com/careers
Tuesday Dec 13, 2022
Tuesday Dec 13, 2022
Tuesday Dec 13, 2022
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Thursday Dec 08, 2022
Thursday Dec 08, 2022
Thursday Dec 08, 2022
Is it possible to reconstruct a 3D model from a simple image?
Under certain constraints, it is! In this episode I tell you how.
Our Sponsors
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Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.
References
https://github.com/isl-org/Open3D
https://huggingface.co/docs/transformers/model_doc/glpn
https://arxiv.org/abs/2201.07436
Friday Dec 02, 2022
Friday Dec 02, 2022
Friday Dec 02, 2022
What if we borrowed from physics some theories that would interpret deep learning and machine learning in general?Here is a list of plausible ways to interpret our beloved ML models and understand why they works, or they don't.Enjoy the show!
Our Sponsors
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Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.
Monday Nov 21, 2022
Monday Nov 21, 2022
Monday Nov 21, 2022
If you think that the problem of self-driving cars has been solved, think twice.As a matter of fact, the problem of self-driving cars cannot be solved with the technical solutions that companies are currently considering. Don't get fooled by marketing and PR on social media. Whoever is telling you they solved the problem of driving a vehicle fully autonomously, they are lying.Here is why.
Our Sponsors
Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide.Check it out at https://arcticwolf.com/datascience
Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.
Data Science at Home is the top-10 best data science podcasts on Apple Podcasts, Spotify, Stitcher, Podbean and many more aggregators.
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Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms.
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field