andrew ng what is machine learning
See all results for 1  . MOOCs Find Their Audience: Professional Learners and Universities The real audience for MOOCs is not the traditional university student but a “lifelong career learner.”. 2  Massive List of MOOC Providers Around The World Where to Find MOOCs: The Definitive Guide to MOOC Providers. Prof. Andrew Ng is a wonderful guide to introduce the machine learning basis. The course offers an overview on linear regression, logistic regression, neural network, support vector machine, regularization, validation, and some unsupervised machine learning methods. The contents are very clear and easy, but powerful. [09/25/16] Welcome to CS229! We look forward to meeting you tomorrow at 9:30 AM! [09/27/16] The venue for Friday discussion sections has been changed. The sections will be held in Gates B01 from 4:30 PM to 5:20 PM. A pair (x(i),y(i)) is called a training example, and the dataset. that we’ll be using to learn—a list of m training examples {(x(i),y(i));i =. 1,...,m}—is called a training set. Note that the superscript “(i)” in the. notation is simply an index into the training set, and has nothing to do with. exponentiation. Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, ... Toggle navigation Navigation open Navigation closed About this course: Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. 5 videos, 3 readings. 1  Video: Prioritizing What to Work On. 2  Reading: Prioritizing What to Work On. 3  Video: Error Analysis. 4  Reading: Error Analysis. 5  Video: Error Metrics for Skewed Classes. 6  Video: Trading Off Precision and Recall. 7  Video: Data For Machine Learning. 8  Reading: Lecture Slides. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Finally, a peek inside the ‘black box’ of machine learning systems Ocean One: An Avatar Extending Human Reach Jackrabbot by the Computational Vision and Geometry Lab Researchers develop a deep-learning algorithm that evaluates chest X-rays for signs of disease Thursday, November 16, 2017 Simulating human movement to optimize physical performance
Machine learning is the science of getting computers to act without being explicitly programmed.