Intro to Machine Learning

Ada Developers Academy

Unleash the Power of Machine Learning: Dive into ML Fundamentals and Build Models with Python in this Beginner-Friendly Workshop!

What You&#x27;ll Learn:<ul><li>What is Machine Learning</li><li>Who uses Machine Learning</li><li>Careers in Machine Learning</li><li>Overview of common models and uses</li><li>Build 2 machine learning models (classification &amp; regression) in Python</li><li>Common practices to keep in mind when deploying models in production </li></ul>How to Prepare:<ul><li>Have a modern web browser installed</li><li>Create a Google account if you don&#x27;t already have one (We will be using an online code editor by Google)</li><li>Having two monitors can be helpful for following along.</li><li>Have the Zoom installed before the webinar begins: https://zoom.us/download</li></ul>About Ada:Ada Lovelace Labs is a part of <a href="https://adadevelopersacademy.org/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Ada Developers Academy&#x27;s</a> professional development program for early to mid-career professionals seeking to upskill and expand their knowledge base. Our platform takes a unique approach to online learning, combining technical training with a community-centric model emphasizing inclusivity and social justice. Our carefully curated curriculum supports applied learning with interactive workshops and courses that allow you to connect with peers and learn from top industry experts. Whether you&#x27;re an Ada alum looking to further your education, a tech professional seeking to expand your skill set, or a company looking to invest in your employees&#x27; growth, Ada Lovelace Labs has something for you.Ada’s mission is to prepare women and gender-expansive adults to be software developers while advocating for inclusive and equitable work environments. Our tuition-free training program includes a collaborative learning environment, individualized support (mentors, tutors, a network of mental health supports, affinity groups), and an applied learning internship.

About the instructor:Sage Elliott enjoys breaking down the barrier to AI observability, talking to amazing people in the Robust &amp; Responsible AI community, and teaching workshops on machine learning. Sage has worked in hardware, software, machine learning roles at various startups for over a decade. Currently Sage is making AI observable at <a href="https://whylabs.ai/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">WhyLabs</a>Connect with Sage on <a href="https://www.linkedin.com/in/sageelliott/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">LinkedIn</a>

Intro to Machine Learning

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Intro to Machine Learning

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