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Recent Episodes
S2E10 Demystifying Overfitting & Model Complexity in ML
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseIn this episode, we’ll learn what…
S2E9 Data Prep in Machine Learning: Training, Validation & Test Sets Explained
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseIn this episode, we break down how…
S2E8 Working with Categorial Data in Machine Learning
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseThis episode explores how categorical data…
S2E5 Classification Metrics Made Simple: Precision, Recall & More
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseIn this episode, we dive into the world of…
S2E7 First Steps with Numerical Data in Machine Learning
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseBefore feeding data into a machine learning…
S2E6 Understanding Model Confidence: ROC, AUC & Prediction Bias
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseIn this episode, we go beyond accuracy and dive…
S2E4 Making Predictions with Logistic Regression
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseIn this episode, we break down logistic…
S2E3 Gradient Descent & Hyperparameters
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseWhat drives a machine learning model to learn?…
S2E2 Linear vs. Logistic Regression: A Quick Guide
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseLinear Regression - Yale UniversityLinear and…
S2E1 Introduction to Machine Learning
Based on the “Machine Learning ” crash course from Google for Developers: https://developers.google.com/machine-learning/crash-courseIn this episode, we explore what machine…
Overcome Your Fear of Public Speaking
This podcast is based on learnings from following resources-Cuncic, A. (2023, December 6). How to manage public speaking anxiety. Verywell Mind.…
S1E4 From Slack Bot to 8,000 Co-Pilots—In 6 Months (Part 1)
What started as a simple Slack bot turned into 8,000+ internal AI assistants—without a single data scientist on the team. In this episode, AI Product Manager Julian Sara Joseph shares how her team…
S1E3 AI on Trial: Decoding the Autophagy Disorder
AI on Trial is a special episode of Human in the Loop, where we take a deep dive into Model Autophagy Disorder (MAD)—a growing risk in artificial intelligence systems. From feedback loops to…
S1E2 𝐁𝐞𝐲𝐨𝐧𝐝 𝐭𝐡𝐞 𝐇𝐲𝐩𝐞: 𝐓𝐡𝐞 𝐈𝐧𝐯𝐢𝐬𝐢𝐛𝐥𝐞 𝐂𝐨𝐬𝐭 𝐨𝐟 𝐀𝐈 𝐂𝐮𝐫𝐢𝐨𝐬𝐢𝐭𝐲
In this episode, we explore the measurable expenses of pushing AI boundaries, from CO2 emissions to workforce stress, drawing on recent research. Key Learnings:The energy cost of LLMs, with training…
S1E1 𝐓𝐡𝐞 𝐑𝐢𝐬𝐞 𝐨𝐟 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐰𝐢𝐭𝐡 𝐕𝐢𝐧𝐨𝐝𝐡𝐢𝐧𝐢 𝐑𝐚𝐯𝐢𝐤𝐮𝐦𝐚𝐫
Discover how Agentic AI moves beyond reactive systems to proactive, goal-driven intelligence.Host Priti and guest Vino explore real-world uses, ethical challenges, and human-AI collaboration.Learn…
Microlearning: Little Lessons, Big Wins
Ever Wonder Why Stuff Slips Your Mind So Quick? Seriously, why do we blank on things we just learned? It’s not you—it’s your brain’s quirky way. Microlearning’s here to save the day, and it’s crazy…
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Human in loop podcasts has published 16 episodes since April 2025, covering topics in Technology.
Human in loop podcasts is currently dormant with new episodes hourly. Average episode length is 8m.
