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Basic Recommender Systems (Coursera)

This course introduces you to the leading approaches in recommender systems. The techniques described touch both collaborative and content-based approaches and include the most important algorithms used to provide recommendations. You'll learn how they work, how to use and how to evaluate them, pointing out benefits and limits of [...]
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Matrix Methods (Coursera)

Jun 28th 2021
Matrix Methods (Coursera)
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Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental [...]
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Matrix Factorization and Advanced Techniques (Coursera)

In this course you will learn a variety of matrix factorization and hybrid machine learning techniques for recommender systems. Starting with basic matrix factorization, you will understand both the intuition and the practical details of building recommender systems based on reducing the dimensionality of the user-product preference space. [...]
6
Average: 6 ( 3 votes )

Matrix Algebra for Engineers (Coursera)

This course is all about matrices, and concisely covers the linear algebra that an engineer should know. The mathematics in this course is presented at the level of an advanced high school student, but typically students should take this course after completing a university-level single variable calculus [...]
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Divide and Conquer, Sorting and Searching, and Randomized Algorithms (Coursera)

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).
7
Average: 7 ( 3 votes )

Numerical Methods for Engineers (Coursera)

Numerical Methods for Engineers covers the most important numerical methods that an engineer should know. We derive basic algorithms in root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. We learn how to use MATLAB to solve numerical problems. Access to MATLAB [...]
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Bases Matemáticas: Algebra (edX)

En este curso se tratan los sistemas de ecuaciones, las matrices y cómo usarlas para resolverlos. En este curso se recordará lo que es una ecuación con una única incógnita y cómo solucionarla.
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Create a Value versus Complexity Matrix in Google Sheets (Coursera)

Self Paced
Create a Value versus Complexity Matrix in Google Sheets (Coursera)
Free Course
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In this 2-hour long project-based course, you will create a Value versus Complexity Matrix in Google Sheets and learn how to interpret the outcomes to prioritize product features. In the process, you will review the basics of this prioritization framework as well as Google Sheets functionality such as lookup [...]
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Introduction to Linear Models and Matrix Algebra (edX)

Learn to use R programming to apply linear models to analyze data in life sciences. Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that [...]
3
Average: 3 ( 2 votes )

Las matrices y sus aplicaciones (Miríada X)

Mar 27th 2017
 Las matrices y sus aplicaciones (Miríada X)
Free Course
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Se pretende, con este curso, que los participantes mejoren sus conocimientos en el cálculo matricial, en el contexto de las operaciones con matrices, los sistemas de ecuaciones lineales y los determinantes, a nivel teórico y práctico; también se persigue que tomen conciencia de la utilidad del cálculo matricial en [...]
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