What is National Learn to Code Day?
On September 23rd, 2017, Ladies Learning Code is hosting its fifth annual National Learn to Code Day -- the first and only event of its kind in Canada. On that day, over 1,500 Canadians will gather together in over 25 communities to challenge themselves to learn a new skill: Using Data to Solve Problems: An Introduction to Artificial Intelligence and Machine Learning for Beginners
In partnership with Accenture, we'll build on our mission of teaching Canadians 21st century digital skills and encourage them to use Artificial Intelligence and Machine Learning to make meaning of data.
Why Artificial Intelligence and Machine Learning?
Artificial intelligence (AI) and machine learning are all around us - from Siri on your iPhone to Google Map suggestions, to recommendations for purchases during your Amazon check-out. While many of us may think AI and machine learning mean more robots and self-driving cars, at a fundamental level, they are about data - and ways to make meaning of data.
What will you learn?
In this workshop, we’ll use a hands-on project based approach to learn how to put data to use for us in our everyday lives. During the session, you’ll learn the following:
An introduction to the history of artificial intelligence and machine learning, what they mean and why it matters
An introduction to data and strategies for collection, preparation, manipulation and analysis of data
An introduction to machine learning models and predictive data
Build your very own machine learning model to evaluate data that’s interesting to you
What resources are available if you’d like to continue learning at home (and we think you will) and career opportunities available in the fields of AI and machine learning
Is this workshop for you?
This workshop has been designed for absolute beginners. If you know absolutely nothing about coding, computer programming or data science, you’ve come to the right place! Our only expectation is that you know how to open up a web browser and do something online like checking your email. (But if you’re reading this, we’re pretty sure you know how to do that.)