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In 2021, 10 years after it burst on the scene, the MOOC ecosystem has reached 220M learners and 19.4K courses.
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Learn Algebra with free online courses and MOOCs from HKUST, Universitat Politècnica de València, Harvard, MIT and other top universities around the world. Read reviews to decide if a class is right for you.
This course is all about matrices, and concisely covers the linear algebra that an engineer should know. We define matrices and how to add and multiply them, and introduce some special types of matrices.
En este curso se tratan los sistemas de ecuaciones, las matrices y cómo usarlas para resolverlos.
Learn to use R programming to apply linear models to analyze data in life sciences.
This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.
Join one of our cohorts to learn from instructors, experts, or each other with weekly live streams.
This six-week bootcamp with weekly live streams is led by technologist Jessica Rose and built around freeCodeCamp's Responsive Web Design Certification. You'll learn HTML, CSS, and accessible and responsive web design.
University of California, San Diego
En esta Cohorte de 4 semanas, descubrirás invaluables técnicas de aprendizaje basadas en la neurociencia presentadas en el aclamado curso “Aprendiendo a Aprender” (Learning How to Learn) por Orlando Trejo, instructor del curso en Español.
Learn how to use linear algebra and MATLAB to solve large systems of differential equations.
This course is intended for students looking to create a solid algebraic foundation of fundamental mathematical concepts from which to take more advanced courses that use concepts from precalculus, calculus, probability, and statistics. This course will…
After completing this course, students will learn how to successfully apply functions to model different data and real world occurrences. This course reviews the concept of a function and then provide multiple examples of common and uncommon types of fun…
This course is the final course in a three part algebra sequence, In this course, students extend their knowledge of more advanced functions, and apply and model them using both algebraic and geometric techniques. This course enables students to make lo…
This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.
Solve equations, draw graphs, and play with quadratics in this interactive course!
Основная особенность курса — геометрический подход к изложению. В каждом сюжете сначала мы рассказываем идею определения, пусть иногда и нестрого, а уже затем вводим формальное определение. В частности, линейные операторы, собственные векторы и числа поя…
In the final course of the statistical modeling for data science program, learners will study a broad set of more advanced statistical modeling tools. Such tools will include generalized linear models (GLMs), which will provide an introduction to classif…
Algebra is one of the definitive and oldest branches of mathematics, and design of computer algorithms is one of the youngest. Despite this generation gap, the two disciplines beautifully interweave. Firstly, modern computers would be somewhat useless if…
Galileo dijo: "El Universo está escrito en lenguaje matemático y los caracteres son triángulos, círculos y otras figuras geométricas, sin las que es humanamente imposible entender una sola palabra".
Para entender el Universo, es necesario plantear le…
Learn the mathematics behind linear algebra and link it to matrix software development.
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