Courses from 1000+ universities
AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
600 Free Google Certifications
Artificial Intelligence
Data Science
Cybersecurity
L'Italiano nel mondo
Introduction to HTML5
Umano Digitale
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Automate image processing tasks in MATLAB, segment and filter images, detect and track motion, and train deep learning models for image classification and object detection.
Learn how system architectures are developed and described, how to communicate needs, requirements and constraints, optimize designs through trade studies, and verify the finished system.
Model and simulate electrified systems in Simulink and Simscape: design power converters, electric motors, and battery systems, then integrate and analyze them at system level.
Perform object detection, train image classification models, use features to align images, and detect motion and track multiple objects in video with MATLAB.
Train image classification, object detection, and anomaly detection models in MATLAB: tune parameters, investigate prediction errors, auto-label thousands of images, and augment data with synthetic images.
Track objects and detect motion in video with MATLAB: run pre-trained deep neural networks for object detection, apply optical flow, and count highway vehicles by direction.
Import, view, and label medical image data in MATLAB: handle common formats, display 2D and 3D volumes like MRIs, adjust orientation and contrast, and extract regions.
Work through a data science capstone in MATLAB: explore and prepare a data set, engineer features, train and evaluate models, and present the results visually.
Explore the challenges of designing electrified systems and see how MATLAB, Simulink, and Simscape model them, through electric vehicle and solar-grid integration case studies.
Train machine learning models in MATLAB to classify street sign images using bag of features, evaluate classification results, and detect material defects with object detection.
Train image classification models with no prior deep learning knowledge: retrain GoogLeNet and ResNet, visualize what networks look at, tune training options, and classify ASL letters.
Train anomaly detection models to spot defects in images, generate synthetic images with data augmentation, auto-label data with AI-assisted annotation, and import PyTorch models.
Analyze and visualize data in MATLAB, design and share custom apps, and speed up coding with AI assistance from MATLAB Copilot.
Build multi-domain physical models in Simscape and Simulink, simulating components like electric motors, batteries, quadcopters, and robot arms, then integrate them into larger systems.
Get a high-level tour of data science: regression and classification concepts, low-code data processing and visualization, tool integration, and scaling model training with AWS cloud resources.
Get personalized course recommendations, track subjects and courses with reminders, and more.