『The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations』のカバーアート

The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations

The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations

著者： Fexingo
無料で聴く

Lucas and Luna sit at a data-science workstation, two thin laptops open to scatter plots and clustering visualizations, and ask: what can we actually learn from the numbers? Each episode of The Data Science Podcast with Fexingo is a grounded, specific conversation about a single analytics problem or machine-learning method — from regularization in regression to the bias-variance trade-off in random forests. Lucas leads with a journalistic eye for how models are built and tested in the real world, citing actual case studies like how Netflix used matrix factorization for recommendations or how healthcare researchers apply survival analysis to clinical trials. Luna keeps the discussion honest, asking about data quality, feature engineering pitfalls, and whether a model’s accuracy actually translates to business value. They never resort to buzzwords: instead, they walk through the workflow from data collection to deployment, discussing trade-offs like interpretability versus performance. The show serves data scientists, analysts, and engineers who want to stay sharp on methods without the hype. Listeners walk away with a clearer understanding of why one algorithm beats another on a given dataset, and what that means for their own projects. Can a neural network ever be truly explainable? And if not, should we trust it anyway? #DataScience #MachineLearning #Analytics #DataEngineering #Statistics #Python #RStats #DeepLearning #AI #BigData #DataVisualization #PredictiveModeling #CausalInference #DataQuality #FeatureEngineering #Business #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How MLOps Teams Are Using Model Monitoring to Prevent Silent Failures

    How MLOps Teams Are Using Model Monitoring to Prevent Silent Failures
    2026/06/08
    Episode 39 of The Data Science Podcast explores the growing discipline of model monitoring in production. Lucas and Luna discuss why many data science teams still treat monitoring as an afterthought, how silent failures erode business trust, and what tools like Evidently AI, WhyLabs, and custom dashboards are doing about it. They walk through a real example from a fintech lending platform where a model drifted undetected for weeks, costing the company over $2 million in bad loans. The conversation also covers the three key pillars of monitoring: data quality, model performance, and operational health. Lucas shares a practical checklist for teams getting started with monitoring today. If you are deploying models to production, this episode will save you from waking up to a 3 AM pager alert. #ModelMonitoring #MLOps #DataScience #MachineLearning #ProductionML #SilentFailures #ConceptDrift #DataQuality #MLPipeline #Fintech #EvidentlyAI #WhyLabs #MLObservability #DataDrift #ModelGovernance #FexingoBusiness #BusinessPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
    続きを読む 一部表示
    9 分
  • How Data Scientists Use Bayesian A-B Testing

    How Data Scientists Use Bayesian A-B Testing
    2026/06/08
    Lucas and Luna dive into Bayesian A/B testing, a method that's quietly replacing traditional frequentist approaches in data science. They break down how it works, why it's more intuitive, and where it falls short. The episode centers on a real case: how a major retailer used Bayesian testing to optimize their checkout flow, cutting decision time from weeks to days. Lucas explains the math behind prior probabilities and posterior distributions without the jargon, while Luna questions whether Bayesian methods can really scale in big-tech environments. They also touch on the common pitfalls, like choosing a bad prior or misinterpreting results. By the end, listeners will understand the key difference between 'is this statistically significant?' and 'what's the probability this variant is better?'—and why the latter question is often more useful in practice. #DataScience #Technology #BayesianStatistics #ABTesting #MachineLearning #StatisticalModeling #DataDrivenDecisionMaking #PriorProbability #PosteriorDistribution #ConversionRateOptimization #FrequentistVsBayesian #DataSciencePodcast #FexingoBusiness #BusinessPodcast #Experimentation #DecisionScience #EcommerceAnalytics #DataCulture Keep every episode free: buymeacoffee.com/fexingo
    続きを読む 一部表示
    8 分
  • How Spotify Uses Data to Predict Your Next Favorite Song

    How Spotify Uses Data to Predict Your Next Favorite Song
    2026/06/07
    In this episode of The Data Science Podcast, Lucas and Luna dive into Spotify's recommendation engine — not the playlist curation you already know, but the predictive models that identify tracks you haven't heard yet. They break down the specific machine learning techniques behind Spotify's 'Discover Weekly' and 'Release Radar,' focusing on collaborative filtering, natural language processing of audio features, and the bandit algorithms that balance exploration and exploitation. Lucas explains how Spotify processes over 30 billion listening events per day to train its models, and why the company uses a two-tower neural network architecture for candidate generation and ranking. Luna asks the tough questions: how does Spotify avoid filter bubbles, and what happens when the model recommends a song you hate? They also touch on the ethical considerations of hyper-personalization and the trade-offs between user satisfaction and data collection. If you've ever wondered how an algorithm knows your musical taste better than you do, this episode delivers a concrete, behind-the-scenes look at one of the most sophisticated recommender systems in production today. #Spotify #RecommendationSystem #CollaborativeFiltering #MachineLearning #DataScience #NeuralNetworks #BanditAlgorithms #Personalization #MusicDiscovery #AudioFeatures #TwoTowerModel #FilterBubble #Tech #DataDriven #FexingoBusiness #BusinessPodcast #DataSciencePodcast #Fexingo Keep every episode free: buymeacoffee.com/fexingo
    続きを読む 一部表示
    10 分
adbl_web_anon_alc_button_suppression_t1
まだレビューはありません