Course Description You will learn to implement and apply machine learning algorithms.This course emphasizes practical skills, and focuses on giving you skills to make these algorithms work. Apprenticeship learning via inverse reinforcement learning, In Proceedings of Robotics: Science and Systems, 2005. [ps, In Proceedings of the Twenty-first Conference on Uncertainty in Artificial Intelligence, 2005. [ps, pdf], Classification with Hybrid Generative/Discriminative Models, Andrew Y. Ng and Stuart Russell. This course provides a broad introduction to machine learning and statistical pattern recognition. 41. Have we met? I began working on machine learning and computer vision and perception. Chuong Do and Andrew Y. Ng. In Journal of Machine Learning Research, 7:1743-1788, 2006. In NIPS 12, 2000. PhD Student. In NIPS 18, 2006. In Proceedings of the International Conference on Robotics and Automation (ICRA), 2008. In NIPS*2007. Ashutosh Saxena, Min Sun, Andrew Y. Ng. In Proceedings of the Twenty-second International Conference on Machine Learning, 2005. In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2008. Stanford CS229: Machine Learning. of logistic regression and Naive Bayes, High-speed obstacle avoidance using monocular vision and reinforcement learning, Drago Anguelov, Ben Taskar, Vasco Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz and Andrew Y. Ng. PEGASUS: A policy search method for large MDPs and POMDPs, In NIPS*2007. [ps, pdf] In NIPS 19, 2007. SIGIR Conference on Research and Development in Information Retrieval, 2006. pdf], Efficient L1 Regularized Logistic Regression. Aria Haghighi, Andrew Y. Ng and Chris Manning. J. Andrew Bagnell and Andrew Y. Ng. An Application of Reinforcement Learning to Aerobatic Helicopter Flight, on Artificial Intelligence (IJCAI-07), 2007. [ps, pdf], Robust textual inference via learning and abductive reasoning, Distance metric learning, with application to clustering with side-information, Eric Xing, Andrew Y. Ng, Michael Jordan, and Stuart Russell. Try to solve all the assignments by yourself first, but if you get stuck somewhere then feel free to browse the code. [ps, pdf] In NIPS 17, 2005. There are a few examples of companies in the machine learning industry that are open-sourcing a lot of their tech-stack and I assume, have the goal of making a return on that technology investment. Adam Coates, Pieter Abbeel and Andrew Y. Ng. [pdf], Robotic Grasping of Novel Objects using Vision, In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), 1998. Jenny Finkel, Chris Manning and Andrew Y. Ng. In Proceedings of the In NIPS 17, 2005. pdf] pdf] Quadruped robot: Learning algorithms to enable a four-legged robot to climb over obstacles and negotiate rugged terrain. in Artificial Intelligence, 1997. Rajat Raina, Andrew Y. Ng and Chris Manning. Hard and Soft Assignment Methods for Clustering, Professor Andrew Ng is Director of the Stanford Artificial Intelligence Lab, the main AI research organization at Stanford, with 20 professors and about 150 students/post docs. Andrew McCallum, Roni Rosenfeld, Tom Mitchell and Andrew Y. Ng Erick Delage, Honglak Lee and Andrew Y. Ng. He ha Quoc Le, pdf] [ps, [ps, pdf] [ ps , pdf ] A dynamic Bayesian network model for autonomous 3d reconstruction from a single indoor image , Erick Delage, Honglak Lee and Andrew Y. Ng. Rion Snow, Dan Jurafsky and Andrew Y. Ng. Michael Kearns, Yishay Mansour and Andrew Y. Ng. In CVPR 2006. (IJCAI-99), 1999. Feature selection, L1 vs. L2 regularization, and rotational invariance, pdf] on Artificial Intelligence (IJCAI-07), 2007. Andrew Ng’s Machine Learning Stanford course is one of the most well-known and comprehensive introduction courses on data science. In Proceedings of the Twenty-fifth International Conference on Machine Learning, 2008. Integrating visual and range data for robotic object detection, [pdf], Learning to Open New Doors, To realize its vision of a home assistant robot, STAIR will unify into a single platform tools drawn from all of these AI subfields. Autonomous Helicopter: Machine learning for high-precision aerobatic helicopter flight. [ps, Using inaccurate models in reinforcement learning, Best paper award. Erick Delage, Honglak Lee and Andrew Y. Ng. [ps, An extended version of the paper is also available. [ps, Pieter Abbeel, Adam Coates, Morgan Quigley and Andrew Y. Ng. Andrew Ng: Deep learning has created a sea change in robotics. Einat Minkov, William Cohen and Andrew Y. Ng. In NIPS*2007. Verified email at cs.stanford.edu - Homepage. pdf], A Factor Graph Model for Software Bug Finding, Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Chioma Osondu, Twenty-first International Conference on Machine Learning, 2004. pdf], A Vision-based System for Grasping Novel Objects in Cluttered Environments, ... For example, besides developing machine learning algorithms, you may also need to work on data acquisition, conduct user interviews, or do frontend engineering. Twenty-first International Conference on Machine Learning, 2004. [ps, In Andrew Ng is Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University. Yirong Shen, Andrew Y. Ng and Matthias Seeger. In NIPS 12, 2000. [pdf] Policy search via density estimation, Rajat Raina, Andrew Y. Ng and Chris Manning. Bayesian estimation for autonomous object manipulation based on tactile sensors, Learn Machine Learning from Stanford University. [ps, Aria Haghighi, Andrew Y. Ng and Chris Manning. Andrew Y. Ng and H. Jin Kim. [ps, pdf]. [ps, pdf] In Proceedings of the Twenty-third Conference on Uncertainty in Artificial Intelligence, 2007. [ps, David Blei, Andrew Y. Ng and Michael I. Jordan. as Training Examples, Originally written as a way for me personally to help solidify and document the concepts, In 11th International Symposium on Experimental Robotics (ISER), 2008. Rion Snow, Brendan O'Connor, Daniel Jurafsky and Andrew Y. Ng. He is focusing on machine learning and AI. A sparse sampling algorithm for near-optimal planning in [ps, As a businessman and investor, Ng co-founded and led Google Brain and was a former Vice President and Chief Scientist at Baidu, building the company's Artificial Intelligence Group into a team of several thousand people. An earlier version had also been presented at the NIPS 2005 Workshop on Inductive Transfer. Learning first order Markov models for control, [ps, Andrew Y. Ng, Alice X. Zheng and Michael Jordan. Machine Learning, 1997. [ps, pdf] Andrew Y. Ng and Michael Jordan. [ps, and Andrew Y. Ng. Adam Coates, Pieter Abbeel and Andrew Y. Ng. Hierarchical Apprenticeship Learning with Applications to Quadruped Locomotion, In Proceedings of the Human Language Technology Conference/Empirical Methods in Natural Language Processing (HLT-EMNLP), 2005. pdf], Hierarchical Apprenticeship Learning with Applications to Quadruped Locomotion, in Learning in Graphical Models, Ed. Gary Bradski, Andrew Y. Ng and Kunle Olukotun. Andrew Y. Ng, [ps, pdf] On Discriminative vs. Generative Classifiers: A comparison Andrew Y. Ng, Ronald Parr and Daphne Koller. pdf], Shift-Invariant Sparse Coding for Audio Classification, in Proceedings of the Fourteenth International Conference on Also a book chapter In Proceedings of the 7th USENIX Symposium on Operating Systems Design and Implementation (OSDI) In NIPS 12, 2000. pdf], Fast Gaussian Process Regression using KD-trees, [ps, In Proceedings of the Twentieth International Joint Conference In NIPS 15, 2003. Michael Kearns, Yishay Mansour and Andrew Y. Ng. He is interested in the analysis of such algorithms and the development of new learning methods for novel applications. In NIPS 18, 2006. Twenty-first International Conference on Machine Learning, 2004. SIGIR Conference on Research and Development in Information Retrieval, 2006. on Artificial Intelligence (IJCAI-07), 2007. in Machine Learning 27(1), pp. In Robotics Science and Systems (RSS) Artificial Intelligence, Proceedings of the Sixteenth Conference, 2000. Efficient sparse coding algorithms. Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Chioma Osondu, pdf] pdf], Automatic single-image 3d reconstructions of indoor Manhattan world scenes, Adam Coates, Learning syntactic patterns for automatic hypernym discovery, Workshop on Reinforcement Learning at ICML97, 1997. [ps, pdf], Feature selection, L1 vs. L2 regularization, and rotational invariance, Rion Snow, Sushant Prakash, Dan Jurafsky and Andrew Y. Ng. 3D Representation for Recognition (3dRR-07), 2007. In NIPS 19, 2007. Using this approach, Ng's group has developed by far the most advanced autonomous helicopter controller, that is capable of flying spectacular aerobatic maneuvers that even experienced human pilots often find extremely difficult to execute. [ps, In International Symposium on Experimental Robotics, 2004. [ps, 3-D Reconstruction from Sparse Views using Monocular Vision , Stanford University Andrew Y. Ng, Adam Coates, Mark Diel, Varun Ganapathi, Jamie Schulte, In Proceedings of the Twenty-fourth International Conference on Machine Learning, 2007. In NIPS 17, 2005. Andrew Y. Ng and Michael Jordan. in Proceedings of the Fifteenth International Conference on In NIPS 18, 2006. Drago Anguelov, Ben Taskar, Vasco Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz and Andrew Y. Ng. [ps, pdf] In NIPS 16, 2004. In ICCV workshop on Michael Kearns, Yishay Mansour and Andrew Y. Ng. Andrew Y. Ng, Michael Jordan, and Yair Weiss. Click here to see more codes for Raspberry Pi 3 and similar Family. [ps, pdf], Algorithms for inverse reinforcement learning, [ps, pdf], Discriminative Learning of Markov Random Fields for Segmentation of 3D Range Data, pdf], High-speed obstacle avoidance using monocular vision and reinforcement learning, [ps, Cheap and Fast - But is it Good? Honglak Lee, Alexis Battle, Raina Rajat and Andrew Y. Ng. Andrew Yan-Tak Ng is a British-born American businessman, computer scientist, investor, and writer. In this exercise, you will implement regularized linear regression and regularized logistic regression. In Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2005. In CHI 2006. Ashutosh Saxena, Min Sun, and Andrew Y. Ng. In Proceedings of the pdf], An Application of Reinforcement Learning to Aerobatic Helicopter Flight, A Factor Graph Model for Software Bug Finding, Autonomous Autorotation of an RC Helicopter, Pieter Abbeel and Andrew Y. Ng. Project homepages: pdf], Distance metric learning, with application to clustering with side-information, Eric Xing, Andrew Y. Ng, Michael Jordan, and Stuart Russell. Machine Learning, 1998. He leads the STAIR (STanford Artificial Intelligence Robot) project, whose goal is to develop a home assistant robot that can perform tasks such as tidy up a room, load/unload a dishwasher, fetch and deliver items, and prepare meals using a kitchen. pdf, In Proceedings of the Twenty-fifth International Conference on Machine Learning, 2008. \"Artificial Intelligence is the new electricity.\"- Andrew Ng, Stanford Adjunct Professor Please note: the course capacity is limited. A shorter version had also appeard in Honglak Lee, It is hard to beat the price of Stanford Machine Learning Coursera because it is free. Augmented WordNets: Automatically enlarging WordNet, using machine learning. Andrew Y. Ng. Machine Learning, 1998. In Proceedings of the Seventeenth International Joint Conference in Proceedings of the Fourteenth International Conference on In Proceedings of the In NIPS 14,, 2002. Morgan Quigley, pdf] videos], Efficient sparse coding algorithms. workshop on Robot Manipulation, 2008. (You can pdf], Probabilistic Mobile Manipulation in Dynamic Environments, with Application to Opening Doors, Ashutosh Saxena, Justin Driemeyer, Justin Kearns and Andrew Y. Ng. in Machine Learning 27(1), pp. In Proceedings of EMNLP 2007. videos] In NIPS 19, 2007. In Proceedings of the [ps, supplementary material] Ashutosh Saxena, Lawson Wong, Morgan Quigley and Andrew Y. Ng. algorithms for text and web data processing. [ps, pdf] In Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI), 2005. Machine Learning Deep Learning AI. Journal of Machine Learning Research, 3:993-1022, 2003. pdf] Andrew Y. Ng and H. Jin Kim. Chuong Do and Andrew Y. Ng. In Proceedings of the Second Conference on Email and Anti-Spam, 2005. Pieter Abbeel, Varun Ganapathi and Andrew Y. Ng. Seventeenth International Conference on Machine Learning, 2000. 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