The Hatch Guide to Machine Learning: From Netflix to ChatGPT | Masterclass

Machine Learning is NOT magic, it's pattern matching at scale. In this comprehensive Hatch Masterclass, we pull back the curtain on why Machine Learning (ML) has exploded and how it powers the apps you use every day, from Netflix and Google Search to Face Unlock and ChatGPT. Whether you’re a developer looking to future-proof your career or a tech enthusiast curious about the "how," this video provides a complete roadmap of the ML pipeline. We’ll move past the hype to discuss real-world engineering, common beginner mistakes, and why the best ML work is 95% data and only 5% code. 🚀 What You’ll Learn: The "Why" Now: The three factors that caused the ML explosion. Real-World Systems: How Netflix, Google, and Banks use ML to predict your next move. The ML Pipeline: A deep dive into data, features, training, and evaluation. Core Types: Supervised, Unsupervised, and Reinforcement Learning simplified. Myth-Busting: Why 99.5% accuracy can actually mean your model is failing. Expert Mantra: "Linear first, tree next, deep only if needed." Join Hatch's WhatsApp group and never miss out on any event update: https://chat.whatsapp.com/JTgEUguIZje8Ccfg... Chapters: 0:00 - Intro 0:12 - Why ML is Everywhere 4:12 - Traditional Software vs. Machine Learning 6:04 - Why You Must Learn ML (Future-Proofing) 10:35 - Case Study: Netflix & Google Search 15:35 - How Face Unlock Actually Works 20:58 - Fraud Detection: Moving Beyond Rules 23:42 - ChatGPT & Large Language Models 25:12 - What is Machine Learning? (The Definitions) 31:37 - The 6-Step ML Pipeline 38:19 - Types of ML: Supervised, Unsupervised, & RL 45:03 - Myths of ML 57:40 - Common Beginner Mistakes 1:03:24 - Key Takeaway: Good Problem + Good Data 🔗 Connect with Hatch: LinkedIn: https://www.linkedin.com/company/hatch-soc... Instagram: https://www.instagram.com/officiallyhatch/ #machinelearningpython #ai #HatchMasterclass #datascience #chatgpt #techcareers #softwareengineering