Coursera
Dive into the final chapter of our Linear Algebra Specialization series where you'll explore the intricate world of orthogonality and diagonalization. This course is designed to equip you with advanced knowledge on orthogonal vectors, transformation, and symmetric matrices, essential for a wide range of applications from engineering to data science.
Coursera
Discover the essential concepts of linear algebra in this beginner-friendly course. Explore vector spaces, matrices, transformations, and applications that underpin modern mathematics and engineering. Perfect for students and professionals seeking to enhance their quantitative skills.
Coursera
Dive into the world of computational mechanics with 'The Finite Element Method for Problems in Physics' course. This beginner-friendly introduction will equip you with a strong foundation in applying the finite element method (FEM) to solve intricate problems across various fields, including physics and engineering sciences. Through engaging mathematical explanations and practical coding exercises, you'll learn how to implement FEM using modern tools and expand your skills to other applications.
Coursera
Dive into the world of Advanced Linear Models for Data Science with Class 2: Statistical Linear Models. This course is designed to provide a deep understanding of least squares from both linear algebraic and mathematical perspectives. Suitable for those with a basic grasp of linear algebra, multivariate calculus, statistics, regression models, proof-based mathematics, and R programming.
Coursera
Embark on a journey to understand the mathematical backbone of Artificial Intelligence (AI) with 'Math for AI beginner part 1: Linear Algebra'. This comprehensive course is designed for beginners who want to delve into the world of machine learning, deep-learning, support vector machines and more. Learn how linear algebra forms the basis for these complex algorithms and gain practical skills in applying these mathematical concepts to real-world AI applications.
Coursera
Dive into the world of advanced data science with 'Advanced Machine Learning and Signal Processing'. This course, offered by Coursera as part of IBM’s Advanced Data Science Specialization, provides a deep dive into machine learning models that are essential for tackling sophisticated challenges across numerous disciplines. From understanding linear algebra to applying supervised and unsupervised learning techniques, this course equips you with the skills needed to harness the potential of data.
EdX
Dive into the world of quantitative finance with our comprehensive Mathematical Methods for Quantitative Finance course on edX. This program is designed for those looking to understand how mathematics forms the backbone of modern finance, equipping you with skills in linear algebra, optimization, probability theory, stochastic processes, statistics, and applied computational techniques using R. Whether you're a student, professional, or enthusiast, this course will provide you with the tools necessary to navigate financial markets, make informed predictions, and optimize investment decisions.
EdX
Dive into the world of quantum mechanics and its revolutionary applications with our Introduction to Quantum Science & Technology course. This course is designed for engineers and scientists who want to understand how quantum principles are being applied to create groundbreaking technologies that redefine computing and communication. From understanding quantum physics basics to exploring engineering solutions, this course equips you with the knowledge needed to contribute to the future of quantum technology.
EdX
Discover how to tackle large, intricate systems of differential equations by harnessing the power of linear algebra and leveraging MATLAB in this advanced educational program. This course is designed for those who wish to delve deep into modeling dynamic processes through mathematical frameworks.