LECTURES

The Convergence of Machine Learning and Artificial Intelligence Towards Enabling Autonomous Driving

Brains, Minds, and Machines Seminar Series: Amnon Shashua – Hebrew University, Co-founder, CTO and Chairman of Mobileye The field of transportation is undergoing a seismic change with the coming introduction of autonomous driving. The technologies required to enable computer driven cars involves the latest cutting edge artificial intelligence algorithms along three major thrusts: Sensing, Planning and Mapping. Prof. Amnon Shashua is describing the challenges and the kind of machine learning

Deploying Machine Learning Applications in the Enterprise: Peter Norvig

Peter Norvig is talking about Deploying machine learning applications in the Enterprise. Director of Research at Google Inc., Peter Norvig is a reference in terms of Machine Learning. He’s always looking at the world to re-build it, playing with programs and applications that nowadays have a dominant role in our world. “The world is made of lines” and we can draw anything with it, manually or numerically.  More companies are

Deep Learning and Self-Driving Cars from MIT: Lectures 01-05

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. Lecture 1: Introduction to Deep Learning and Self-Driving Cars *An overview of deep learning methods: Deep Reinforcement Learning, Convolutional Neural Networks, Recurrent Neural Networks *How deep learning can help improve each component

Deep Learning for Self-Driving Cars : Lecture 5

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Artificial Intelligence Lectures (01-13) - Barbara Hecker, PhD

Artificial Intelligence course introduces the foundation of simulating or crating intelligence from a computational point of view. It covers the techniques of reduction, reasoning, problem solving, knowledge representation, and machine learning. In addition, it covers applications of decision trees, neural Networks, support vector machines and other learning paradigms. Barbara Hecker, J.D., Ph.D. Barbara is an entrepreneur with a passion for teaching. She’s been a Department Chair, Chief Academic Officer and

Artificial Intelligence Complete Lectures (01-23)

Prof. Patrick Henry Winston introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of this course, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.

Preparing Our Economy for the Impact of Automation & AI: Robert Reich

Professor Reich comes to Google to discuss the impact of automation & artificial intelligence on our economy. He also provides a recommendation on how we can ensure future technologies benefit the entire economy, not just those at the top. Robert Reich is the Chancellor’s Professor of Public Policy at the University of California, Berkeley and Senior Fellow at the Blum Center for Developing Economies. He served as Secretary of Labor

Deep Learning for Self-Driving Cars : Lecture 4

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep Learning for Self-Driving Cars : Lecture 3

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the

Deep Learning for Self-Driving Cars : Lecture 2

It doesn’t matter if you are beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit of Lex Fridman’s course on Deep Learning for Self-Driving Cars. If you are interested in this course, you can go to  http://selfdrivingcars.mit.edu/  and Register an account on the site to stay up-to-date. The material for the course is free and open to the