Taking the plunge: my path to working on artificial intelligenceI thought about large-scale risks to future generations: run-away climate change, nuclear exchange, engineered pandemics, unsafe AI…Jul 3, 2023Jul 3, 2023
Published inMachine Learning for HumansAI Reading ListFor newcomers to the field of artificial intelligence, prioritizing among endless AI resources can be an overwhelming challenge. This list…Jun 19, 2019A response icon7Jun 19, 2019A response icon7
Published inMachine Learning for HumansA Beginner’s Guide to AI/ML 🤖👶The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples.Aug 19, 2017A response icon91Aug 19, 2017A response icon91
Published inMachine Learning for HumansThe Best Machine Learning ResourcesA compendium of resources for crafting a curriculum on artificial intelligence, machine learning, and deep learning.Aug 19, 2017A response icon17Aug 19, 2017A response icon17
Published inMachine Learning for HumansMachine Learning for Humans, Part 5: Reinforcement LearningExploration and exploitation. Markov decision processes. Q-learning, policy learning, and deep reinforcement learning.Aug 19, 2017A response icon8Aug 19, 2017A response icon8
Published inMachine Learning for HumansMachine Learning for Humans, Part 4: Neural Networks & Deep LearningWhere, why, where, and how deep neural networks work. Drawing inspiration from the brain. CNNs and RNNs. Real-world applications.Aug 19, 2017A response icon4Aug 19, 2017A response icon4
Published inMachine Learning for HumansMachine Learning for Humans, Part 3: Unsupervised LearningClustering and dimensionality reduction: k-means clustering, hierarchical clustering, PCA, SVD.Aug 19, 2017A response icon12Aug 19, 2017A response icon12
Published inMachine Learning for HumansMachine Learning for Humans, Part 2.3: Supervised Learning IIINon-parametric models: k-nearest neighbors, decision trees, and random forests. Introducing cross-validation and ensemble models.Aug 19, 2017A response icon4Aug 19, 2017A response icon4
Published inMachine Learning for HumansMachine Learning for Humans, Part 2.2: Supervised Learning IIClassification with logistic regression and support vector machines (SVMs).Aug 19, 2017A response icon8Aug 19, 2017A response icon8
Published inMachine Learning for HumansMachine Learning for Humans, Part 2.1: Supervised LearningThe two tasks of supervised learning: regression and classification. Linear regression, loss functions, and gradient descent.Aug 19, 2017A response icon23Aug 19, 2017A response icon23