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Episodes
February 21, 2023
deep learning versus machine learning
February 21, 2023

Deep learning vs tabular models (Ep. 217)

Source Deep learning methods are not as effective with tabular data. Here is why, and what to do about it. Sponsors If you’re ready to take […]
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February 15, 2023
Batch learning and on-line learning
February 15, 2023

[RB] Online learning is better than batch, right? Wrong! (Ep. 216)

In this episode, I speak about online learning systems and why blindly choosing such a paradigm can lead to very unpredictable and expensive outcomes.
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January 27, 2023
chat-gpt
January 27, 2023

Chatting with ChatGPT: Pros and Cons of Advanced Language AI (Ep. 215)

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 […]
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January 21, 2023
Venn diagram of different job roles in data science
January 21, 2023

DataForge: Job roles in Data Science (Ep. 1)

🔥 🤔 What skills and qualifications are required for each job role in Data Science? What are the most emerging roles in Data Science and ML? […]
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January 14, 2023
generate-reliable-data-with-parallel-domain
January 14, 2023

A novel method to generate reliable data with Parallel Domain CEO Kevin McNamara (Ep. 214)

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 currently […]
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December 14, 2022
Edge AI applications for military and space
December 14, 2022

Edge AI applications for military and space [RB] (Ep. 213)

Our Sponsors NordPass Business has developed a password manager, that will save you a lot of time and energy whenever you need access to business accounts, work […]
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December 8, 2022
3D model of Johnny Depp's Face
December 8, 2022

From image to 3D model (Ep. 212)

Image from https://www.phonemore.com/news/a-guide-to-turning-photos-into-3d-models/6880 Is it possible to reconstruct a 3D model from a simple image? Under certain constraints, it is!In this episode, I tell you how. […]
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December 3, 2022
machine learning in physics
December 3, 2022

Machine learning is physics (Ep. 211)

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 […]
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November 21, 2022
November 21, 2022

Autonomous cars cannot drive. Here is why. (Ep. 210)

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 […]
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November 9, 2022
November 9, 2022

Evolution of data platforms (Ep. 209)

Let’s look at the history of data platforms. How did they evolve? Why?Shall I switch to the latest architecture?Enjoy the show! Our Sponsors Explore the Complex […]
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About Data Science at Home Podcast

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.

About Amethix

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, Robotics and Software Engineering solutions for critical systems.

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Episodes
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