gcl virtual series

Machine Learning Workshop

An informative set of 8 sessions across 4 weeks that introduces the basic concepts of Machine Learning and Deep Learning through interactive sessions. At the end of the sessions, the participants will construct two different projects, an image classification model and a sentiment analysis model.

Overview

Girls Computing League is hosting a Machine Learning Workshop, where we introduce the intricacies of machine learning algorithms and neural networks to students with no prior programming experience. Our goal is to provide you with the necessary skills to construct your own machine learning models to assist yourself or other individuals. With the skills we teach throughout our series of 8 sessions, we believe we can help you make a social and possibly global impact. Some concepts we will cover include regression tasks, binary classification, and image segmentation. Sessions will occur on Saturday and Sunday every week for 4 weeks. In the last session, the participants will build their own CNN and RNN.

Benefits of Attending

Why you should register for our Machine Learning Workshop!

Importance of AI/ML

AI is incorporated in products everywhere around us from phones to traffic lights. Through this course, we  hope to focus on one aspect of Artificial Intelligence called Machine Learning. From learning about regression tasks for predicting housing prices to using neural networks for simple object detection, you will understand the importance and necessity for Machine Learning in our everyday lives.

Project Based Learning

Not only will we teach the theoretical and mathematical aspect behind machine learning, but we will also build several projects throughout the course. Some of the projects include determining if a picture is a cat or not and categorizing MRI scans into 3 different brain tumors. These interactive, project-oriented sessions will provide you with a strong basis for applying Machine Learning for yourself and hopefully for others.

Real-Life Example

The tools that we will teach you (Tensorflow and Keras) are used in everyday lives and in the industry. Additionally, many of the projects we will cover are actively present in the Machine Learning sector of research. We hope that you can use the concepts and tools we provide to you to make your community and possibly the world a better place.

Schedule of Events

More Info

Weekly workshops wiil be held at 3-4:30pm EDT on Saturdays and Sundays.

Session 1: August 8th, 2020

Ice Breaker, Course Agenda, Fundamentals of AI, ML, DL

Session 2: August 9th

Intro to Linear regression and Logistic regression models

Session 3: August 15th

Construct regression models to perform housing prediction task

Sesson 4: August 16th, 2020

Random forest model and decision tree, RF classification tasks

Session 5: August 22nd

Introduction to Support Vector Machines, kernels, and hyperplanes

Session 6: August 23rd

Intro to deep learning and neural networks

Session 7: August 29th

Hyper parameter tuning and regularization

Session 8: August 30th

Image classification (cats vs. dogs) and Sentiment analysis

Registration

Complete the form below to sign up for GCL’s Machine Learning Workshop series!

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About

GirlsComputingLeague a nonprofit who aims to empower underrepresented groups in the technology workplace by fostering the interests of young women in computer science, data science, and technology. We specialize in teaching computer science, data science and information technology concepts to students in Northern Virginia and the Washington Metropolitan area.

Donate

GirlsComputingLeague is indeed a 501(c)(3) nonprofit organization (EIN: 47-5186652). All donations are tax-deductible to the full extent allowable under IRS regulations. We rely on corporate sponsors and individual donors to fund our programs and our team is entirely volunteer-based. You can see a full list of our Executive & Corporate Supporters on our Supporters page. Thank you for considering donating to GirlsComputingLeague. We truly appreciate your generosity!

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