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S1E6 ML 101: Where Do Decision Trees & Random Forests Fit in Machine Learning Types?
After learning the main types of machine learning, this short Machine Learning 101 episode answers a practical question: where do Decision Trees and Random Forests fit? We explain why these models…
S1E5 ML 101: Types of Machine Learning — Supervised, Unsupervised, Semi-Supervised & Reinforcement
In this Machine Learning 101 episode, we explain the four main types of machine learning—Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning—in plain English with real-world…
S1E4 ML 101: Ensemble Modelling — Random Forests & Gradient Boosted Trees
In this Machine Learning 101 episode, we explain ensemble modelling—how combining multiple models can create one powerful predictor. You’ll learn the difference between bagging and boosting, then…
S1E3 ML 101: Decision Trees — From Simple Flowcharts to Powerful Models
In this Machine Learning 101 episode, we break down Decision Trees—one of the most intuitive ML models—using simple, everyday examples you can picture like a flowchart. You’ll learn how trees make…
S1E2 ML 101: Regression Made Simple — Linear, Logistic, Multivariate & Polynomial
In this Machine Learning 101 episode, we explore regression—one of the simplest and most practical ML techniques—using clear, non-technical examples. We cover Linear Regression (predicting numbers…
S1E1 ML 101: AI vs Machine Learning vs Deep Learning vs GenAI
In this episode of Machine Learning 101, we untangle the terms people use interchangeably: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI). You’ll…
Intro - A Window to the Tech World
A Window to the Tech World is a weekly podcast hosted by Dr Somdip Dey (InteliDey), an embedded/on-device AI scientist and tech columnist. Each episode breaks down the biggest shifts in AI,…
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A Window to the Tech World has published 7 episodes since February 2026, covering topics in Technology.
A Window to the Tech World is currently sporadic with new episodes hourly. Average episode length is 7m.
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