A Window to the Tech World

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 are most commonly used for  supervised learning —both  classification  (spam vs not spam, fraud vs not fraud) and  regression (house prices, delivery time). We also touch on how tree-based methods ca...

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 examples. We start from the basics (what  features ,  labels , and classes mean), then explore when each learning type is used, its advantages and disadvantages, and how to choose the right approach in...

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 dive into two of the most popular tree-based ensembles:  Random Forests  (many “randomised” decision trees voting/averaging together to reduce overfitting) and  Gradient Boosted Trees  (trees buil...

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 decisions step by step, how they handle  classification  (yes/no choices like “take an umbrella?”) and  regression  (predicting numbers like delivery time), and why trees can  overfit  if they grow t...

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 like house prices),  Logistic Regression  (yes/no decisions using probability, like spam or fraud),  Multivariate/Multiple Regression  (using many factors at once), and  Polynomial Regression  (cap...

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 learn the simple “nested circles” hierarchy, see everyday examples, and understand where tools like  ChatGPT and Google Gemini  fit (GenAI apps powered by large language models). We also cover a qui...

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, cybersecurity, data and digital innovation—then turns them into practical career guidance: what to learn, what to build, how to interview, and how to grow in tech responsibly. Expect clear explanations, real-wo...