Podcast Index
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The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations
Fexingo
Ca$hMire de Pierre Couture
Pierre Couture
Experiencia Kidzania Santa Fe
ACIR - Kidzania
Flims Network
Flims Network
LPR
Tyler Janke
GEE RAY RECORDS
GREGORY RAY RECORDS
Next with Kyle Clark
Kyle Clark
Pro Golf News Today | 2 Min News | The Daily News Now!
The Daily News Now!
Quatro em Campo
CBN
Montana State News Network
Montana State News
La Luciérnaga
Caracol Pódcast
Nothing Major
Sift Creative
Driving It Home with Patti Vasquez (Full Episodes)
WCPT 820
L'Équipe du Mondial, le podcast foot de L'Équipe pour la Coupe du monde 2026
L'Équipe
Two Blokes Talking Tech
Trevor Long and Stephen Fenech
The Jas Johal Show
CKNW / Curiouscast
CIDADE + WEB RÁDIO
Gil Leal
Bahamas News Today | 2 Min News | The Daily News Now!
The Daily News Now!
Buffalo Bills News Today | 2 Min News | The Daily News Now!
The Daily News Now!
Digital Social Hour
Sean Kelly
Working for the Word - a Bible translation podcast
Andrew Case
SQL Podcast
Andrew & Isabel Mioch
NFL: The Insiders
NFL
ESPN FC
ESPN
Les Nuits de France Culture
France Culture
Best of The Steve Harvey Morning Show
iHeartPodcasts
Mindful, Happy Kids
Elisabeth
Erazno y La Chokolata El Podcast
El Podcast Mas Chido
Best of the Left - Leftist Perspectives on Progressive Politics, News, Culture, Economics and Democracy
Best of the Left: Perspectives on Politics, Culture, and Economics
The Tom Woods Show
Tom Woods
Terror para llevar
YoSoyPride
Locked On Oklahoma State - Daily Podcast On Oklahoma State Cowboys Football & Basketball
Cody Stovvall, Locked On Podcast Network
Métamorphose, éveille ta conscience !
Anne Ghesquière
Podcast Rezandovoy
Rezandovoy
Krishna's Mercy
Krishna's Mercy
TOPS Bunker: The Original Prepper Survivalist Podcast
Keith Otworth & Rhonda Triggs
The Early Edge: A Daily Sports Betting Podcast
CBS Sports, SportsLine
All
Fexingo
In this episode, Lucas and Luna dive into the practical applications of Sentence-BERT (SBERT) for semantic search in production. They discuss how SBERT converts text into dense vector embeddings, enabling similarity sear...
Lucas and Luna explore the practical use of SHAP (SHapley Additive exPlanations) for interpreting complex machine learning models. They walk through a real-world example: a credit risk model from a mid-sized European fin...
For Episode 100 of The Data Science Podcast, Lucas and Luna explore the controversial practice of training AI models on synthetic data. With real-world examples from autonomous vehicle companies like Waymo and medical im...
In this episode, Lucas and Luna dive into Temporal Fusion Transformers (TFT), a deep learning architecture that has changed how data scientists approach time series forecasting. They walk through a concrete case from a m...
In this episode, Lucas and Luna dive into how Spotify uses reinforcement learning to personalize playlists like Discover Weekly and Release Radar. They break down the multi-armed bandit problem, explore how Spotify balan...
Episode 97 dives into counterfactual explanations — the 'what if' tools helping data scientists debug models and build stakeholder trust. Lucas and Luna walk through a concrete example: a credit-approval model that rejec...
In this episode, Lucas and Luna dive into multimodal zero-shot learning, the technique that lets AI models like CLIP recognize objects, scenes, and text across images without ever being explicitly trained on those combin...
In Episode 95 of The Data Science Podcast with Fexingo, Lucas and Luna dive into a practical yet underappreciated technique: using k-nearest neighbors for anomaly detection. They kick off with a real-world story from a m...
In episode 94 of The Data Science Podcast with Fexingo, Lucas and Luna explore how active learning cuts labeling costs by 80 percent while maintaining model accuracy. Using a concrete example from a medical imaging start...
Episode 93 of The Data Science Podcast with Fexingo dives into Thompson Sampling, a Bayesian approach to online experimentation that balances exploration and exploitation better than traditional A/B testing. Lucas and Lu...
Episode 92 of The Data Science Podcast with Fexingo dives into embedded analytics—the practice of integrating dashboards, reports, and AI insights directly into customer-facing products. Lucas and Luna explore how compan...
Most marketing attribution models are correlational — they tell you what happened, not why. In this episode, Lucas and Luna break down how data scientists are using causal inference techniques, specifically double machin...
In this episode, Lucas and Luna explore how knowledge graphs are supercharging retrieval-augmented generation (RAG) systems. They break down a concrete example: how a financial services firm used a knowledge graph built ...
Lucas and Luna explore how graph neural networks are transforming recommendation systems, using the example of Pinterest's PinSage model. They break down how GNNs capture relational data like user-item interactions to ge...
Episode 88 of The Data Science Podcast dives into dimensionality reduction — but not for preprocessing. Lucas and Luna explore how data scientists use t-SNE and UMAP to visualize high-dimensional data, from customer segm...
In episode 87 of The Data Science Podcast, Lucas and Luna explore manifold learning—a powerful technique for dimensionality reduction that goes beyond PCA. They focus on t-SNE and UMAP, explaining how these algorithms pr...
In this episode, Lucas and Luna explore the concept of the Pareto frontier, a powerful framework for multi-objective optimization in data science. Starting with a concrete example—a ride-hailing company balancing driver ...
Lucas and Luna dive into Neural Radiance Fields (NeRFs), a technique that has reshaped 3D reconstruction from 2D images. They walk through how NeRFs work at a high level—converting sparse photographs into continuous volu...
In this episode of The Data Science Podcast, Lucas and Luna explore how data scientists are using diffusion models — the technology behind tools like DALL-E and Stable Diffusion — for image generation. They break down th...
In this episode, Lucas and Luna explore how data scientists apply transfer learning to solve image classification problems with very little labeled data. They break down the concrete steps: taking a pre-trained model lik...
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