generative learning
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The Concept of Unsupervised Learning, K-means Clustering Algorithm, K-means Algorithm, Mixtures of Gaussians and the EM Algorithm, Jensen's Inequality, The EM Algorithm, Summary
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Advice for Applying Machine Learning, Debugging Reinforcement Learning (RL) Algorithm, Linear Quadratic Regularization (LQR), Differential Dynamic Programming (DDP), Kalman Filter & Linear Quadratic Gaussian (LQG), Predict/update Steps of Kalman Filter, Linear Quadratic Gaussian (LQG)
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Discriminative Algorithms, Generative Algorithms, Gaussian Discriminant Analysis (GDA), GDA and Logistic Regression, Naive Bayes, Laplace Smoothing
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Hawkins talks about how he started his first company while he was in college and the lessons he learnt from that experience. Real-world learning along with book and school type learning are instrumental in one's preparation to be an entrepreneur, he says.
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A successful product is easy for everyone to use, immediately. Flatten the learning curve, never ask someone to do something you would not, and recruit evangelists to spread your message.
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Professor Bloom opens with a brief discussion of the value and evolutionary basis of unconscious processing. The rest of this lecture introduces students to the theory of Behaviorism, particularly the work of prominent behaviorist, B. F. Skinner. Different types of learning are discussed in detail, as well as reasons why behaviorism has been largely displaced as an adequate theory of human mental life.
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Carol Bartz, CEO of Autodesk for many years, underlines the silver lining for many stagnating issues in the workplace. Making a plan for yourself is a good idea, but don't let it limit your scope. By bringing value to the organization, you are the one to benefit most. Learning is the most critical aspect of any job; if you're not growing, it's time to uproot. She also points out that bad managers are great teachers, as they are instructive...more
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Note: This course is being offered this summer by Stanford as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. The goals for the course are to gain a facility with using the Fourier transform, both specific techniques and general principles, and learning to recognize when, why, and how it is used. To...more
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Madonna had The Sex Book. Apple had the Newton. Marissa Mayer, Vice President of Search Products & User Experience for Google, points out that all the best brands, including her own, have made some tremendous product errors. But what allows an enterprise to endure, she says, is its ability to learn from its mistakes and make corrections. Performance is what's important, even if it's not instantaneous.
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An Application of Supervised Learning - Autonomous Deriving, ALVINN, Linear Regression, Gradient Descent, Batch Gradient Descent, Stochastic Gradient Descent (Incremental Descent), Matrix Derivative Notation for Deriving Normal Equations, Derivation of Normal Equations
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What do your dreams mean? Do men and women differ in the nature and intensity of their sexual desires? Can apes learn sign language? Why can't we tickle ourselves? This course tries to answer these questions and many others, providing a comprehensive overview of the scientific study of thought and behavior. It explores topics such as perception, communication, learning, memory, decision-making, religion, persuasion, love, lust, hunger, art...more
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Jennifer Raymond (Stanford University) is building a "wiring diagram" for the brain. By bridging the gap between individual synapses and whole-brain learning & memory, Raymond's research offers new insights and strategies for medical rehabilitation and K-12 education.
