MIT/ILP Calendar Event
Modeling and Optimization for Machine Learning
OverviewNumerical modeling is the skill of reducing a messy engineering or computational problem to a mathematical form that can be solved by using standard algorithms and techniques. By recognizing mathematical patterns ?in the wild,? participants will develop an intuition for which problems are solvable using standard numerical modeling techniques and gain the knowledge and skills to then solve them. Computer science is experiencing a fundamental shift in its approach to modeling and problem solving. Early computer scientists primarily studied discrete mathematics, focusing on structures like databases and arrays composed of distinct pieces. With the introduction of modern applications in ?big data,? three-dimensional scanning, machine learning, and noisy sensor communications, practitioners now must design robust methods for processing real-valued data. The latest generation of programmers, computer scientists, and engineers must be able to reason about not just bits-and-bytes, but also calculus, linear algebra, and optimization. By the end of the course, participants will learn how to boil real-world challenges down to their computational essence to make a reasonable estimate of how difficult it would be to design a numerical method to solve them. We will cover a breadth of possible tools, from numerical linear algebra to convex programming and stochastic/deterministic gradient descent, in the context of practical problems drawn from emerging applications in vision, learning, and graphics. Coding and mathematical exercises will reinforce these ideas and expose participants to standard software packages for optimization.
MIT is located in Cambridge, Massachusetts. The campus, situated in close proximity to Boston’s Logan International Airport, profits from Boston’s excellent public transportation system and the on-campus Tech Shuttle. The closest subway station is Kendall Square, which acts as a commercial center for MIT and the local community.
FOR FURTHER INFORMATION OR TO REGISTER, CONTACT:
MIT Professional Education - Short Programs
238 Main Street, Suite 401
Cambridge, MA 02139
TEL: 617 253 2101 * FAX: 617 258 8831
ILP members receive a 15% discount on all MIT Professional Education open enrollment programs held in Massachusetts. ILP members receive a 15% discount on all MIT Professional Education courses. To obtain the discount code, click here (you must be signed in to this website as an ILP member to access the code).