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Anything but Random: Supervised Machine Learning Demystified

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Anything but Random: Supervised Machine Learning Demystified

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PLEASE REGISTER ON EVENTBRITE HERE https://www.eventbrite.com/e/anything-but-random-supervised-machine-learning-demysitified-tickets-52536161072 TO RESERVE A TICKET, RSVP'ING ON MEETUP DOESN'T GUARANTEE YOU ENTRY

This second workshop in the series will focus on a common problem in Data Science in making predictions from labelled data, otherwise known as Supervised Learning.

Dr Glenn Amundsen, Senior Data Scientist at Royal Mail will take you through the basics of Machine Learning and introduce you to a few algorithms, focusing on Random Forests. By the end of this workshop you will have an understanding of the theory behind this algorithm and will have applied it to a real-world dataset. Glenn will walk you through how to prepare the data, train the model, evaluate it’s performance, and finally, discuss some of the parameters you can tune to improve your results.

This workshop series aims to get more people to consider a Data Science as a career to widen the talent pool available. Data Science also has one of the worst female to male ratios of all STEM-related careers, as well as falling well behind in attracting minority groups into the profession. Diversity should be essential to any modern business as it is shown to widen perspectives, drive innovation and improve employee performance.

Therefore, we are actively encouraging anyone from an underrepresented group to get involved with this workshop, even if you have little or no experience in Data Science. By attending this workshop you will gain a unique insight into what it is like to be a data scientist alongside valuable hands-on experience in a practical application of data science.

The only requirement for attending this workshop is that you will need to bring your own laptop. A basic understanding of programming, in particular with Python, is desirable but not essential.

The agenda is as follows:

  • 18:30 - Welcome

  • 19:00 - Introduction to Supervised Machine Learning

  • 19:30 - Applying Supervised Machine Learning

  • 20:15 - Hands-on Exercise - (Optional)

  • 20:30 - Networking + Pizza

The last workshop was massively oversubscribed so we recommend you sign up ASAP to improve your chance of gaining a space. Don’t miss out on this unique opportunity!

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