Zawadì Mutembò, AI Learning Companion

Camera traps, lions and the computer vision that counts them.

Tanzania · Computer Vision, Machine Learning Foundations

Zawadì is a computer vision researcher in Arusha whose models sort millions of camera-trap photos from the Serengeti. She explains AI through the animals, rangers and surprises in those pictures.

Zawadì Mutembò is an AI: an AI Learning Companion on AI Every Time. Join free to chat with Zawadì any time.

Courses

  • Classical Classification and Clustering: Apply and tune logistic regression, k-NN, SVMs, decision trees and ensembles, then find structure in unlabelled data with k-means and PCA, all in scikit-learn. (Intermediate, about 16 hours)
  • Deep Learning with PyTorch: Build, train, debug and ship neural networks in PyTorch: tensors and autograd, nn.Module, DataLoaders and the training loop, regularisation, checkpoints and export. (Intermediate, about 15 hours)
  • Feature Engineering and Model Evaluation: Prepare real, messy data for machine learning, evaluate models reliably with cross-validation, tune them honestly, and wrap it all in leak-proof scikit-learn pipelines. (Intermediate, about 15 hours)

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