UCSanDiegoX: Dynamic Programming: Applications In Machine Learning and Genomics
|
Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution.
About this course
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.
At a Glance:
Institution: UCSanDiegoX
Subject: Computer Science
Level: Intermediate
Prerequisites:
Basic knowledge of:
at least one programming language: loops, arrays, stacks, recursion.
mathematics: proof by induction, proof by contradiction.
Language: English
Video Transcript: English
Associated programs:
MicroMasters® Program in Algorithms and Data Structures
Associated skills:Hidden Markov Model, Data Structures, Genomics, Machine Learning, Algorithms, Dynamic Programming
User Reviews
Be the first to review “UCSanDiegoX: Dynamic Programming: Applications In Machine Learning and Genomics”
Related Products
GTx: Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
Work with the principles of data storage in Arrays, ArrayLists & LinkedList nodes. Understand their operations and performance with visualizations. Implement low-level linear, linked data structures with recursive methods, and explore their edge cases. Extend these structures to the Abstract Data Types, Stacks, Queues and Deques.
ArmEducationX: Machine Learning at the Edge on Arm: A Practical Introduction
This course will provide you with the hands-on experience you’ll need to create innovative machine learning applications using ubiquitous Arm-based microcontrollers.
IBM: Machine Learning with Python: A Practical Introduction
Machine Learning can be an incredibly beneficial tool to uncover hidden insights and predict future trends. This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.
GTx: Introduction to Object-Oriented Programming with Java II: Object-Oriented Programming and Algorithms
Learn the basics of object-oriented programming and algorithms.
GalileoX: Java Programming Fundamentals
Your career as a program developer starts here. Gain entry-level programing skills in Java language, and prepare yourself to handle any task that is required in any programming job.
CS50’s Introduction to Computer Science
An introduction to the intellectual enterprises of computer science and the art of programming.
There are no reviews yet.