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Episodes
April 24, 2023
Object tracking
April 24, 2023

DataForge: Object Tracking Methods and its Recent Developments (Ep. 3)

☄️ 🔍 During our chat, we explored how object tracking technology takes initial object detections, creates visual models for these objects, and follows them as they […]
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April 19, 2023
Graph NNs
April 19, 2023

The Power of Graph Neural Networks: Understanding the Future of AI – Part 2/2 (Ep.224)

Source In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks. First, we explore Hierarchical Networks, which allow for […]
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April 14, 2023
April 14, 2023

The Power of Graph Neural Networks: Understanding the Future of AI – Part 1/2 (Ep.223)

Source NVidia In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I […]
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April 4, 2023
Leveling Up AI: Reinforcement Learning with Human Feedback
April 4, 2023

Leveling Up AI: Reinforcement Learning with Human Feedback (Ep. 222)

Source In this episode, we dive into the not-so-secret sauce of ChatGPT, and what makes it a different model than its predecessors in the field of […]
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April 3, 2023
The promise and pitfalls of GPT-4 (Ep. 221)
April 3, 2023

The promise and pitfalls of GPT-4 (Ep. 221)

In this episode, we explore the potential of the highly anticipated GPT-4 language model and the challenges that come with its development. From its ability to […]
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March 16, 2023
AI’s Impact on Software Engineering: Killing Old Principles? (Ep. 220)
March 16, 2023

AI’s Impact on Software Engineering: Killing Old Principles? (Ep. 220)

(Source) In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation […]
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February 28, 2023
Prove It Without Revealing It
February 28, 2023

Prove It Without Revealing It: Exploring the Power of Zero-Knowledge Proofs in Data Science (Ep. 218)

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 […]
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February 27, 2023
NN in robotic simulations
February 27, 2023

DataForge: Differentiable Robotic Simulations (Ep. 2)

🤔 What are differentiable physics engines? How does Deep Learning tackle the most challenging robotics simulation problems? 🤖🦾 Join the 2nd episode of the “DataForge” fireside chat […]
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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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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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