Free online
Learn Numerical Methods online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
119 courses
Harvard University
Learn to use machine learning in Python in this introductory course on artificial intelligence.
IIT Kanpur
Computer Science and Engineering course by Prof. Rajat Mittal.
MIT OpenCourseWare
This course presents the fundamentals of object-oriented software design and development, computational methods and sensing for engineering, and scientific and managerial applications. It cover topics, including design of classes, inheritance, graphical user interfaces, numerical methods, streams,…
00:00:00 - Introduction 00:00:15 - Optimization 00:01:20 - Local Search 00:07:24 - Hill Climbing 00:29:43 - Simulated Annealing 00:40:43 - Linear Programming 00:51:03 - Constraint Satisfaction 00:59:17 - Node Consistency 01:03:03 - Arc Consistency 01:16:53 - Backtracking Search This course explores…
Harvard University
This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.
Columbia University
Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.
IBM
Covers Decision Optimization, Mathematical Programming, Operational Research.
This graduate-level course is a continuation of Mathematical Methods for Engineers I (18.085). Topics include numerical methods; initial-value problems; network flows; and optimization. View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at…
Concentrates on recognizing and solving convex optimization problems that arise in applications. Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optima…
IBM
Become proficient with tensor operations in PyTorch. Learn how to build and train linear regression models from scratch, apply logistic regression for classification tasks, and handle data efficiently while optimizing models using gradient descent techniques.
MIT OpenCourseWare
This course is an introduction to numerical methods and MATLAB®: Errors, condition numbers and roots of equations. Topics covered include Navier-Stokes; direct and iterative methods for linear systems; finite differences for elliptic, parabolic and hyperbolic equations; Fourier decomposition, error…
MIT OpenCourseWare
16.225 is a graduate level course on Computational Mechanics of Materials. The primary focus of this course is on the teaching of state-of-the-art numerical methods for the analysis of the nonlinear continuum response of materials. The range of material behavior considered in this course includes:…
View the complete course: http://ocw.mit.edu/22-15F14 Instructor: Ian Hutchinson Three short tutorial videos which demonstrate basic operation of Octave software, used in this graduate-level introduction to numerical methods for engineers. The videos should also be helpful for beginning MATLAB user…
MIT OpenCourseWare
This course will focus on fundamental subjects in convexity, duality, and convex optimization algorithms. The aim is to develop the core analytical and algorithmic issues of continuous optimization, duality, and saddle point theory using a handful of unifying principles that can be easily visualize…
MIT OpenCourseWare
This course focuses on the use of modern computational and mathematical techniques in chemical engineering. Starting from a discussion of linear systems as the basic computational unit in scientific computing, methods for solving sets of nonlinear algebraic equations, ordinary differential equation…
MIT OpenCourseWare
The numerical methods, formulation and parameterizations used in models of the circulation of the atmosphere and ocean will be described in detail. Widely used numerical methods will be the focus but we will also review emerging concepts and new methods. The numerics underlying a hierarchy of model…
The Georgia Institute of Technology
A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning.
View the complete course: http://ocw.mit.edu/10-34F15 Instructor: Prof. William Green Jr. and Prof. James W. Swan Numerical methods for solving problems arising in heat and mass transfer, fluid mechanics, chemical reaction engineering, and molecular simulation, within the context of chemical engine…
Columbia University
Develop quantitative models that leverage business data to forecast sales and support important marketing decisions.
