Machine Learning Workshop: Hunting for Pulsars

Please note, this is an online event. You would need to install Zoom (https://zoom.us) in advance.

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Prerequisites
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Please install Python 3 (https://www.python.org/downloads/), Anaconda IDE (https://www.anaconda.com/products/individual) and the following packages: sqlite, pandas, matplotlib, scikit-learn, tensorflow.
Participants would benefit from the workshop more by being familiar with Python and the basics of statistics. No prior Machine Learning knowledge is required, but familiarity would be beneficial.

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Schedule
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19:00 - 19:05 - Welcome speech and introduction from WWCode
19:05 - 19:25 - Presentation about algorithms that will be used
19:25 - 20:25 - Hands-on tutorial
20:25 - 21:00 - Closing remarks and networking

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Talks
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Speaker
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Joe Davies (https://www.linkedin.com/in/joe-davies-4b39a4123/)

=== Bio ===
Joe a third-year PhD student at Queen Mary University of London studying how we can use Artificial Intelligence to look for Dark Matter at the ATLAS detector at CERN. Joe's interest in programming began at the start of his PhD research, after he began to do courses in machine learning as a part of his training. As soon as Joe had his first neural network - he was hooked! Joe has shared this passion with other PhD students, delivering a similar tutorial to the one he is going to give for Women Who Code community.

=== Abstract ===
AI has many uses in modern technology and especially in computational physics. In this talk Joe will use an exciting example from astrophysics to show three models of increasing complexity in order to allow attendees to get to grips with the basics of AI and give an opportunity to write their own model.
This workshop offers a general tutorial of three algorithms: Logistic Regression, Decision Trees and Neural Networks, following a real-data example for each algorithm. You will gain an understanding of how to use specific python modules to create a model and why you are using them.

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About Women Who Code
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Women Who Code is the largest and most active community of engineers dedicated to inspiring women to excel in technology careers. We envision a world where women are representative as technical executives, founders, VCs, board members, and software engineers. Our programs are designed to get you there.

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Code of Conduct
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WWCode London events are dedicated to providing inclusive & safe experiences for everyone. Before attending please read our code of conduct. Read the full version and access our incident report form at http://www.womenwhocode.com/codeofconduct