RESUME KULIAH TAMU "MACHINE LEARNING"
Tema: "From Perceptron to Deep Neural Network" Pembicara: Adi Chris (Machine Learning Engineer) Traveloka What is machine learning? machine learning is learning from data. the ability to learn without being explicitly programmed. essence of machine learning: Data Pattern No Formulaic Expression exist to solve the pattern Pola yang dimiliki haruslah teratur. Ketika terdapat 3 pola ini, maka kemungkinan besar dapat menggunakan machine learning, dan lebih baik pakai machine learning. Kegunaan Machine Learning : - Predict Revenue, Supply, Demand etc - Nerual Network - Speech recognition, comp vision, etc. Manual vs Automation vs Machine Manual : shopkeeper decide what music to recommend for every customer. Automation : computer decides what music to recommend for every customer,...