Machine Learning Specialization

Foundational machine learning from Andrew Ng and Stanford Online — regression, neural networks, decision trees, XGBoost, and unsupervised methods.

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Skills covered

A 3-course specialization from DeepLearning.AI and Stanford Online, taught by Andrew Ng. The updated successor to Ng’s original 2012 ML course on Coursera.

• Course 1 — Supervised Machine Learning: linear regression, logistic regression, gradient descent, regularization; building models with NumPy and scikit-learn
• Course 2 — Advanced Learning Algorithms: neural networks with TensorFlow (multi-class classification), best practices for ML development, decision trees, random forests, XGBoost
• Course 3 — Unsupervised Learning, Recommenders, Reinforcement Learning: clustering, anomaly detection, collaborative filtering and content-based recommenders, and a deep reinforcement learning project

Issued

DeepLearning.AI · Stanford Online — 2022-09-19