Master AI & Machine Learning: Complete Beginner To Practitioner Course Episodes

Clustering is where machine learning goes unsupervised — no labels, no correct answers, just data and the question: is there hidden structure here? In this episode we animate k-means from scratch, tackle the deceptively hard ...

Decision trees are the most interpretable ML algorithm — and the most dangerous if left unchecked. In this episode we build a decision tree live using the Telco Churn dataset, see exactly why it overfits, then watch how rando...

Classification is the most common type of ML problem in production — spam vs. not spam, fraud vs. legitimate, churn vs. stay. In this episode we build visual intuition for logistic regression, the decision boundary, threshold...

This is the Module 2 capstone — a live, end-to-end walkthrough of building your first ML dataset from scratch. We take a real problem, find public data, audit it, clean it, check for bias, split it correctly, and document it ...

Google Photos mislabeled people. Amazon's hiring AI penalized women. A healthcare algorithm gave Black patients lower risk scores than equally sick white patients. None of these were intentional — all were data bias problems....

Data scientists spend 80% of their time cleaning data — not building models. In this episode we walk through the complete data preparation pipeline: missing values, duplicates, outliers, encoding, normalization, train/test sp...

The type of data you have determines which ML algorithms you can use, how you preprocess it, and how much of it you need. In this episode we build the complete data type taxonomy — structured, unstructured, semi-structured, t...

The model is almost never the problem. The data almost always is. In this episode — the Module 2 opener — we build the foundational understanding of why data quality determines AI quality, why data advantages compound over ti...

Hollywood and the tech hype machine have built a mythology around AI that's equal parts fear and magical thinking. In this episode we dismantle both — with evidence, a live hallucination demo, and an honest breakdown of what ...

You interacted with AI dozens of times today before you even opened this video. Spam filters, navigation ETAs, Spotify recommendations, fraud detection, social media feeds — all of it running on ML models you never see. In th...

How do machines actually learn? In this episode we break down the three fundamental ML training approaches — supervised, unsupervised, and reinforcement learning — plus self-supervised learning, the technique behind every maj...

People use the terms Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Generative AI as if they all mean the same thing. They don't. In this episode of Master AI/ML, we build a simple mental model that i...

Detailed Description Artificial Intelligence is everywhere right now... but what does it actually mean? In this first episode of the Master AI & ML series, we strip away the buzzwords and explain AI in plain language for deve...

What if you could write, understand, and ship code faster than ever—without doing it all yourself? In this episode, we dive into Claude Code, the AI-powered coding assistant that’s redefining how developers, product leaders, ...

Machine learning isn’t “done” when the model trains—success is defined in production. In this talk, you’ll learn a practical roadmap for deploying AI agents and ML systems at scale, with a focus on the real-world challenges t...

Generative AI and Large Language Models (LLMs) are transforming how we write, code, search, and build products. In this video, you’ll get a clear, structured explanation of how LLMs work, what makes them “generative,” and how...

Unlock the real story behind Artificial Intelligence and Machine Learning! 🚀 Are you tired of the hype and confusion surrounding AI, ML, and deep learning? This presentation, “What AI/ML Actually Is (And Isn’t),” cuts through...

Unlock the Power of Python for AI & Machine Learning! Ready to kickstart your journey into artificial intelligence and machine learning? In this presentation, "Python Programming for AI/ML," you'll discover why Python is the ...