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Learn Linear Algebra online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
206 courses
Harvard University
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.
Harvard University
A focus on several techniques that are widely used in the analysis of high-dimensional data.
Harvard University
The structure, annotation, normalization, and interpretation of genome scale assays.
Speakers: Gilbert Strang, Alan Edelman, Pavel Grinfeld, Michel Goemans Revered mathematics professor Gilbert Strang capped a 61-year career as a faculty member at MIT by delivering his final 18.06 Linear Algebra lecture before retiring at the age of 88. In addition to a brief review for the course…
Stanford University
Welcome to the self paced course, Algorithms: Design and Analysis! Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming e…
Instructor: Gilbert Strang The Help Session Videos were developed by: Martina Balagovic, Linan Chen, Benjamin Harris, Ana Rita Pires, David Shirokoff, Nikola Kamburov View the complete course: http://ocw.mit.edu/18-06SCF11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/te…
Instructor: Prof. Gilbert Strang This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. *Please note that…
Harvard University
A focus on the techniques commonly used to perform statistical inference on high throughput data.
Harvard University
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
Harvard University
Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.
Johns Hopkins University
This course is the second course in the Linear Algebra Specialization. In this course, we continue to develop the techniques and theory to study matrices as special linear transformations (functions) on vectors. In particular, we develop techniques to manipulate matrices algebraically. This will al…
Harvard University
Learn to use R programming to apply linear models to analyze data in life sciences.
University of Chicago
This first course in quantum computing is for novices and requires learners to have only basic algebra. It covers the future impacts of quantum computing, provides intuitive introductions of quantum physics phenomenon, and progresses from single operations to a complete algorithm.
Johns Hopkins University
This is the first course of a three course specialization that introduces the students to the concepts of linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. This foundational material provides both theory and applications for topics in mathem…
Columbia University
Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.
Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/2020-vision YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61iQEFiWLE21EJCxwmWvvek Professor Strang introduces his updated vision of how to start learning linear algebra, based on matrices. These brief vide…
Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probabil…
This course gives an introduction to Complex Variables, Ordinary Differential Equations and Linear Algebra. View the complete course at: http://ocw.mit.edu/RES18-008 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variatio…
MITx
Want to learn about quantum bits, quantum logic gates, quantum algorithms, and quantum communications, and know some linear algebra but haven't yet learned much about quantum mechanics? This is the course for you!
