In English Please Glossary

[CoreyS]

On the Banana Data Podcast we have the In English Please segment. This serves as a way to simply breakdown complex concepts in plain english. Here is a glossary of all the terms discussed to date. If you like what you hear, please be sure to subscribe wherever you listen to your podcasts and register for the Banana Data Newsletter!

Term	Season	Episode	Timestamp
Application Program Interface (API)	Season 2	Do I do AI?	13:18
Autoencoder Neural Networks	Season 3	Deepfakes & Data Upskilling	9:58
BERT	Season 1	Building accessible queries, codes, and speech using AI	12:00
Cloud Computing	Season 1	AI Meets World: GDPR, the AI Job Apocalypse, and AI’s carbon footprint	14:28
Collaborative Filtering	Season 1	A New Kind of Relationship with AI: Robopets, AI Art, and AI EQ	12:36
Epsilon Greedy Multi Armed Bandit	Season 1	Culpability in AI failures, Fooling NNs with NNs, AI for cancer screenings, and Epsilon Greedy Multi...	11:35
Federated Learning	Season 1	Being an Ethical Data Scientist, Federated Learning in Healthcare, and Dropping the “Best Model” App...	11:07
GANS	Season 1	The future of data according to predictions, Python 3.0, and people.	11:42
Graph Data Bases	Season 3	Analytics in the NFL & Revolutions in Data Discovery	8:11
Kafka	Season 2	The Essentials (and not-so essentials) of Data Science Pipelines	12:09
Neural Networks	Season 1	Biased Data & the Perfect Answer, Multi-Armed Bandits, and the GPUs Behind Your Neural Networks	14:37
Random Forest Models	Season 1	Prioritizing training data, model interpretability, and dodging an AI Winter	15:10
Reinforcement Learning (Online learning)	Season 2	Life after Production, a Tale of Technical Debt with Dan Shiebler, Twitter Eng	4:19
Spark	Season 1	The Death of Data Viz, Cross-Cultural AI, and AI Auditing	16:05
Speech Recognition	Season 2	The Everyday of AI	12:33
Subpopulation Analyses	Season 3	Data Nuance & Human-in-the-Loop Monitoring	10:28
YOLO	Season 3	Fighting Cheating AI & Redefining AI companies	12:28