Learn AI Series 38 Neural Networks From Scratch Forward Pass What will I learn You will learn network architecture layers, neurons, and connections represented as matrix operations; weight m
Learn AI Series 37 The Perceptron Where It All Started What will I learn You will learn the perceptron the simplest artificial neuron and the ancestor of all neural networks; the perceptron
Learn AI Series 36 Mini Project Complete ML Pipeline What will I learn You will learn how to build a complete ML pipeline from raw messy data to scored predictions tying together everything f
Learn AI Series 35 Data Ethics and Bias in ML What will I learn You will learn how bias enters ML systems from data collection through deployment; the major types of bias: selection, measurem
Learn AI Series 34 ML Engineering From Notebook to Production What will I learn You will learn the gap between "works in Jupyter" and "works in production" and how to bridge it; model serial
Learn AI Series 33 Ensemble Methods Deep Dive Stacking and Blending What will I learn You will learn stacking training a metalearner on top of base model predictions to squeeze out extra accu
Learn AI Series 32 Bayesian Methods Thinking in Probabilities What will I learn You will learn Bayesian vs frequentist thinking two fundamentally different views of what probability even mean