Programs

Computational Machine Learning for Scientists and Engineers

About this course

The Continuum Jumpstart Course Computational Machine Learning (ML) for Scientists and Engineers is designed to equip you with the knowledge you need to understand, train, and design machine learning algorithms, particularly deep neural networks, and even deploy them on the cloud.

You’ll learn by programming machine learning algorithms from scratch in a hands-on manner using a one-of-a-kind cloud-based interactive computational textbook that will guide you, and check your progress, step-by-step. Using real-world datasets and datasets of your choosing, you will understand, and we will discuss, via computational discovery and critical reasoning, the strengths and limitations of the algorithms and how they can or cannot be overcome. You will understand how machine learning algorithms do what they claim to do so you can reproduce these while being able to reason about and spot wild, unsupported claims of their efficacy.

By the end of the course, you will be ready to harness the power of machine learning in your daily job and prototype, we hope, innovative new ML applications for your company with datasets you alone have access to.

Since you’ll learn by doing (via coding), you’ll spend quite a bit of time coding and debugging not-working code. So a basic facility with (language agnostic) programming syntax and computational reasoning is invaluable. The rest you will learn in the course itself, i.e., you don’t have to be a Java whiz but you do need to have used Python, MATLAB or R.

Important dates

The course will run from August 11 – November 17, 2021

Cost

Alumni / individual: $895, includes direct email support, computational textbook, informal feedback on assignments and LinkedIn certificate

Corporate / government: $1950, includes direct email support, computational textbook, formal grading and detailed personalized feedback, priority support on weekends and weeknights, group support sessions (if requested), and LinkedIn certificate of completion

Course expectations

The course will run for 13 weeks and will require 5-6 hours of coding work from you each week.

You’ll learn by doing and we (the instructor and the instructional staff) are here for you.

You will get stuck at various points. Math stars get stuck programming the code. Programming stars get stuck linking math to code. Everyone gets stuck somewhere because there are a lot of subtle concepts being linked together. We’re here for you and we commit to working with you to helping you get unstuck so you can deepen your understanding and master the material.

If you are able to commit to the course, including and especially by reaching out when you get stuck, we know that we can get you to the point where you can leave the course armed with a set of ML tools and solutions that you can immediately benefit from.

Instructor

Winter 2021 support staff and instructional leads