Workshop method

Get hands-on ML experience with this introductory workshop • The Register

Event December 9 at 0900 GMT, Register now Mark Whitehorn and the folks behind our MCubed Machine Learning Conference will bring an online workshop on Foundations of AI right to your desktop.

Seating is limited and ticket sales will end on December 3 at 1:00 p.m. GMT – so head to our website now to secure your spot.

Machine learning is everywhere, but it’s hard to get in if you don’t know where to start. There are books and courses online at your pace, but what do you do when you get stuck? There is nothing better than a hands-on, face-to-face training with someone who knows their stuff.

An Introduction to Machine Learning is a one-day, hands-on online workshop with Professor Mark Whitehorn, and it will be filled with experiences and discussions. You and your fellow participants will learn all about the types of ML and their algorithms, and discover the strengths and weaknesses of some approaches using them yourself.

Registrations are open to anyone wishing to gain an understanding of machine learning, regardless of their background. Professor Whitehorn will use his unique teaching style to help you familiarize yourself with the basics of machine learning before introducing you to supervised, unsupervised, and reinforcement learning.

From there, things will get practical quickly with hands-on exercises using commonly used algorithms, such as clustering and neural networks. Seating is limited to ensure you get a helping hand when needed and the best possible support.

If you don’t know Professor Whitehorn, you are going to have a blast with this workshop. Don’t take our word for it: Check out the first MCubed web conference here for a taste of his explanation skills.

In addition to his work as Professor Emeritus of Analysis at the University of Dundee in Scotland, Mark keeps his skills up to date by helping national and international organizations, such as the Bank of England and Sainsbury’s, to design analytical systems and data science solutions.

The exercises and experiments will be mostly done in Python, so installing the language environment with an IDE will help you get the most out of the lab. This does not mean, however, that the workshop is exclusively for Python users. We’ll provide you with some working code for experimentation and guide them more comfortable in other languages ​​through the examples before we start changing any settings together.

Most importantly, you will come away with the knowledge to continue in the language or codeless ML system that you feel most comfortable working with.

Reserve your spot for December 9 now so you don’t miss a thing. ®