Linear Algebra

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Advanced Linear Models for Data Science 1: Least Squares (Coursera) Coursera
Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares (Coursera)

Dive into the world of advanced linear modeling with our introductory course on Least Squares. Gain a solid foundation in linear algebra, multivariate calculus, statistics, and regression models as you learn how to apply least squares methods effectively in data science projects. This course is perfect for those looking to deepen their understanding of predictive analytics.

Jun 29th 2026
5-12 Weeks
Mathematics for Machine Learning: PCA (Coursera) Coursera
Imperial College London

Mathematics for Machine Learning: PCA (Coursera)

Dive into the essential mathematics behind one of the most popular dimensionality reduction techniques in machine learning: Principal Component Analysis (PCA). This comprehensive course is designed for those with an intermediate understanding of statistics and linear algebra, aiming to equip you with the skills needed to apply PCA effectively in your data science projects. By the end of this course, you'll have a solid grasp on how to minimize reconstruction error and extract meaningful patterns from high-dimensional datasets.

Jun 29th 2026
4 Weeks
Generalized Linear Models and Nonparametric Regression (Coursera) Coursera
University of Colorado Boulder

Generalized Linear Models and Nonparametric Regression (Coursera)

Dive into the world of advanced statistical modeling with this specialized course. Learn about generalized linear models, logistic regression for classification, nonparametric methods like kernel estimators and smoothing splines, and semi-parametric generalized additive models (GAMs). This course is designed to provide a strong conceptual foundation in these complex yet powerful tools essential for data scientists.

Jun 29th 2026
4 Weeks
Linear Algebra for Machine Learning and Data Science (Coursera) Coursera
DeepLearning.AI

Linear Algebra for Machine Learning and Data Science (Coursera)

Dive into the core principles of Linear Algebra that are pivotal in Machine Learning and Data Science with this comprehensive online course. Learn to represent and analyze data using vectors and matrices, apply essential operations like dot products and inverses, and explore linear transformations and eigenvalues/eigenvectors for advanced problem-solving.

Jun 29th 2026
4 Weeks
Robotic Mapping and Trajectory Generation (Coursera) Coursera
University of Colorado Boulder

Robotic Mapping and Trajectory Generation (Coursera)

Embark on an exciting journey into the world of advanced robotics with 'Robotic Mapping and Trajectory Generation'. This course is designed for those who want to delve deeper into the intricacies of robotic systems, focusing on mapping techniques and trajectory planning. Learn how to perform complex tasks such as inverse kinematics and control feedback, and master the art of processing multi-dimensional sensor data like laser range scanners. Gain insights into modeling uncertainties in mechanisms and sensors, and learn effective strategies for controlling them.

Jun 29th 2026
5-12 Weeks
Basic Robotic Behaviors and Odometry (Coursera) Coursera
University of Colorado Boulder

Basic Robotic Behaviors and Odometry (Coursera)

Discover the basics of robotic navigation and control with 'Basic Robotic Behaviors and Odometry'. This course introduces you to the principles behind autonomous mobile robots, including essential concepts like odometry, sensors, actuators, and reactive behaviors. Gain practical experience using the Webots simulator for a hands-on approach to understanding how simple robots navigate their environments.

Jun 29th 2026
5-12 Weeks
Linear Algebra: Linear Systems and Matrix Equations (Coursera) Coursera
Johns Hopkins University

Linear Algebra: Linear Systems and Matrix Equations (Coursera)

Dive into the world of linear algebra with our introductory course, designed to equip you with the foundational knowledge needed to tackle linear systems and matrix equations. Whether you're a student, engineer, or scientist, this course will provide you with essential skills for solving real-life problems through mathematical principles.

Jun 29th 2026
4 Weeks
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