University of California, San Diego

Understand machine learning’s role in data-driven modeling, prediction, and decision-making. Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world?

A blank canvas is full of possibility. If you have an idea for a user experience, how do you turn it into a beautiful and effective user interface? This covers covers principles of visual design so that you can effectively organize and present information with your interfaces. You'll [...]

In the Capstone project for the Internet of Things specialization, you will design and build your own system that uses at least 2 sensors, at least 1 communication protocol and at least 1 actuator. You will have a chance to revisit and apply what you have learned in our [...]

For decades, researchers have been studying microalgae to understand their biological functions and how we can use technology to harness algae’s power to create a wide range of commercial products. In this course, we will cover how synthetic biology, genetic engineering, and metabolic engineering is used in algae biotechnology, [...]

Do you want to develop skills to prototype embedded products using state-of-the-art technologies? In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. We will use the DragonBoard™ 410c single board computer (SBC). [...]

In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists [...]

This course will help us to evaluate and compare the models we have developed in previous courses. So far we have developed techniques for regression and classification, but how low should the error of a classifier be (for example) before we decide that the classifier is "good enough"? Or [...]

This is the first course in the four-course specialization Python Data Products for Predictive Analytics, introducing the basics of reading and manipulating datasets in Python. In this course, you will learn what a data product is and go through several Python libraries to perform data retrieval, processing, and visualization. [...]

This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various [...]