Machine Learning

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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.

Sep 21st 2026
4 Weeks
What is “the mind” and what is artificial intelligence? (Coursera) Coursera
University of Colorado Boulder

What is “the mind” and what is artificial intelligence? (Coursera)

Embark on a journey to unravel the mysteries of the human mind and its parallels in artificial intelligence. This course offers an in-depth exploration of cognitive science's evolution and how it shapes our understanding of AI cognition. Perfect for enthusiasts curious about the future of technology and psychology.

Sep 21st 2026
4 Weeks
Computational Vision (Coursera) Coursera
University of Colorado Boulder

Computational Vision (Coursera)

Discover how vision is a complex cognitive problem space in this engaging online course on Computational Vision. Learn to analyze and model different aspects of visual processing, explore the intricate relationship between the mind, brain, and computation, and gain insights into advanced models that enhance our understanding of perception.

Sep 21st 2026
4 Weeks
Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera) Coursera
Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera)

Dive into the world of Machine Learning Algorithms with our Supervised Learning Tip to Tail course. This engaging program covers essential techniques like Decision Trees, K-Nearest Neighbors, Support Vector Machines, and provides practical applications through real-world case studies. Whether you're a data scientist or business analyst, this course will equip you with the skills needed to tackle complex machine learning projects effectively.

Sep 21st 2026
4 Weeks
Introduction to Applied Machine Learning (Coursera) Coursera
Alberta Machine Intelligence Institute

Introduction to Applied Machine Learning (Coursera)

Embark on an introductory journey into the world of applied machine learning with this foundational course. Designed for beginners, this program will guide you through problem definition and data preparation in a practical machine learning project setting. Whether your interest lies in finance, medicine, engineering, or business analytics, this course is tailored to equip you with essential skills to tackle real-world challenges.

Sep 21st 2026
4 Weeks
Deep Learning with Python and PyTorch (edX) EdX
IBM

Deep Learning with Python and PyTorch (edX)

Dive into the world of advanced deep learning with our expert-led course, 'Deep Learning with Python and PyTorch'. This course is designed to build upon your foundational knowledge in PyTorch, equipping you with the skills to construct sophisticated deep neural networks and train them using state-of-the-art methodologies. Whether you're a data scientist, machine learning enthusiast, or AI developer, this course will empower you to create and deploy complex models that can tackle real-world challenges.

Self Paced
Self-Paced
Project Planning and Machine Learning (Coursera) Coursera
University of Colorado Boulder

Project Planning and Machine Learning (Coursera)

Embark on a journey to master project management and explore the basics of Machine Learning with this specialized online course. Designed for those pursuing a Master's degree in Electrical Engineering or anyone looking to enhance their technical skills, this course covers essential topics such as project planning, bill of materials creation, sensor calibration, data storage systems, and an introduction to machine learning algorithms.

Sep 21st 2026
4 Weeks