Podcast Index
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The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations
Fexingo
The REF 1400 Podcast
KREF Sports
Thrasherway Podcast
HLT
thethrasherway's podcast
Henry Thrasher
The TMZ Podcast
TMZ
富爸爸-财商思维学习
终身都要成长
Where Wine Takes You - A Paso Wine Podcast
Adam Montiel
עלונימייל | Alonimail
Alonimail
The Politics Guys
The Politics Guys - Government Democracy & News
SBS Russian - SBS на русском языке
SBS
Spidell's California Minute
Spidell Publishing
Star News Briefing
Star 104.5
Real Double Dose Channel - Authority Spotlight Broadcast
Lexus T. & Hector Rivera
CK News Today
Blackburn Media
Garage Logic
Gamut Podcast Network
Daf Yomi: Babble on Talmud
Sruli Rapps
Rich and Ken with Ted Johnson
Audacy
"Tapp" into the Truth
Tim Tapp
Health Report
ABC Australia
Johannes Hansen Podcast
Johannes Hansen
Por el Placer de Vivir con el Dr. Cesar Lozano
Uforia Podcasts
SBS Portuguese - SBS em Português
SBS
RELOADING - Atualize-se, gamer!
Bruno Carvalho, Edu Aurrai, Felipe Mesquita e Rodrigo Cunha
Sara Gonzales Unfiltered
Blaze Podcast Network
Renungan Harian GMAHK 2026
Manna Multimedia Ministry supported by Juju Juanda
Horse Racing Radio Network
Horse Racing Radio Network - HRRN
Sleep Meditation for Women
Sleep Meditation
雅思口语IELTS English2026
英语口语家森Jason
SBS Thai - เอสบีเอส ไทย
SBS
Schopp and Bulldog
Audacy
The Bobby Bones Show
Premiere Networks
The California Report Magazine
KQED
Actually
Will Media
Nooit meer slapen
NPO Radio 1 / VPRO
In the Market with Janet Parshall
Moody Radio
Mise en Place - the Podcast
Robert Belcham of the Chefs Table Society of BC
Cold War Conversations - "vivid & compelling" The NY Times
Ian Sanders
Todo
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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