Computer Vision for Engineering and Science (CourseraSpecs)

https://www.coursera.org/specializations/computer-vision

Offered by MathWorks. Quickly gain skills in Computer Vision. Learn essential computer vision skills like aligning images, detecting ...

Data Processing and Feature Engineering with MATLAB (Coursera)

https://www.coursera.org/learn/feature-engineering-matlab

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in ba

Data Science Project: MATLAB for the Real World (Coursera)

https://www.coursera.org/learn/matlab-capstone

Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data. To complete the project, you must have mastery of the skills covered in other courses in the specialization. The project will test your ability to import and explore your data,

Deep Learning for Computer Vision (CourseraSpecs)

https://www.coursera.org/specializations/deep-learning-computer-vision

Offered by MathWorks. Advance Your Engineering Career with AI Skills. Learn practical deep learning techniques for computer vision

Exploratory Data Analysis with MATLAB (Coursera)

https://www.coursera.org/learn/exploratory-data-analysis-matlab

In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to

Image Processing for Engineering and Science (CourseraSpecs)

https://www.coursera.org/specializations/image-processing

Offered by MathWorks. Quickly gain skills in Image Processing. Learn the essential skills to automatically extract information from images.

Image Segmentation, Filtering, and Region Analysis (Coursera)

https://www.coursera.org/learn/image-segmentation

In this course, you will build on the skills learned in Introduction to Image Processing to work through common complications such as noise. You’ll use spatial filters to deal with different types of artifacts. You’ll learn new approaches to segmentation such as edge detection and clustering. You’ll also analyze regions of interest and calculate properties such as size, orientation, and location. By the end of this course, you’ll be able to separate and analyze regions in your own images. You’

Introduction to Image Processing (Coursera)

https://www.coursera.org/learn/introduction-image-processing

In this introduction to image processing, you'll take your first steps in accessing and adjusting digital images for analysis and processing. You will load, save, and adjust image size and orientation while also understanding how digital images are recognized. You will then perform basic segmentation and quantitative analysis. Lastly, you will enhance the contrast of images to make objects of interest easier to identify. By the end of the course, you’ll apply your segmentation skills to identi

Machine Learning for Computer Vision (Coursera)

https://www.coursera.org/learn/ml-computer-vision

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects. You will use MATLAB throughout this course.  MATLAB is the go-to choice

Object Tracking and Motion Detection with Computer Vision (Coursera)

https://www.coursera.org/learn/object-tracking-and-motion-computer-vision

In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection. You’ll also use optical flow to detect motion and use the results to detect mo

Practical Data Science with MATLAB (CourseraSpecs)

https://www.coursera.org/specializations/practical-data-science-matlab

Offered by MathWorks.

Predictive Modeling and Machine Learning with MATLAB (Coursera)

https://www.coursera.org/learn/predictive-modeling-machine-learning

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, stand