The University Network

Dynamic Programming: Applications In Machine Learning and Genomics

Description

If you look at two genes that serve the same purpose in two different species, how can you rigorously compare these genes in order to see how they have evolved away from each other? In the first part of the course, part of the Algorithms and Data Structures MicroMasters program, we will see how the dynamic programming paradigm can be used to solve a variety of different questions related to pairwise and multiple string comparison in order to discover evolutionary histories. In the second part of the course, we will see how a powerful machine learning approach, using a Hidden Markov Model, can dig deeper and find relationships between less obviously related sequences, such as areas of the rapidly mutating HIV genome.

Price: $150 – FREE to audit!

Dynamic Programming: Applications In Machine Learning and Genomics through edX, a platform for education founded by Harvard and MIT.

Dynamic Programming: Applications In Machine Learning and Genomics – UCSanDiegoX