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Machine Learning Tutorial

Supervised learning, classification, neural networks and core ML algorithms.

PyTorch Overview

Meta's deep learning framework, known for its Pythonic, dynamic-graph style that's popular in research and increasingly in production.

import torch
import torch.nn as nn

model = nn.Sequential(nn.Linear(10, 64), nn.ReLU(), nn.Linear(64, 1))
optimizer = torch.optim.Adam(model.parameters())