Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning

Get ready to dive into the world of Artificial Intelligence (AI) and Machine Learning (ML), where we'll explore cutting-edge technologies.

By Black in Robotics

Date and time

Sunday, June 15 · 10am - 12pm PDT

Location

Online

Refund Policy

Refunds up to 7 days before event

About this event

  • Event lasts 2 hours

Artificial Intelligence and Machine Learning

Welcome to the Black in Robotics' Artificial Intelligence and Machine Learning event!

Are you curious about the fascinating world of AI and ML? Join us for this online event where software engineer and expert Sosna Worku Achamyeleh will share insights, trends, and practical applications in these cutting-edge technologies. Whether you're a beginner or an experienced professional, there's something for everyone. Don't miss this opportunity to expand your knowledge and network with like-minded individuals. Mark your calendar and reserve your spot today!

The cost of the workshop is $5.00 per participant plus $2.85 Eventbrite service charge.

WORKSHOP FEE IS NON-REFUNDABLE UNLESS CANCELLED BY BLACK IN ROBOTICS. The service charge is non-refundable.

This workshop is recommended for learners 12 years and older. Younger participants should attend with an adult guardian.

For any questions, please contact blackinrobotics@gmail.com

Detailed Description

This workshop offers introduction to Machine Learning, a key area within Artificial Intelligence. Participants will explore how machines learn patterns from data through supervised learning techniques such as linear regression and decision trees. We’ll cover essential ML concepts including data preprocessing (normalization, encoding), model training and testing, loss functions (like mean squared error), and evaluation metrics such as accuracy, precision, recall, and F1-score. Using Python and the Scikit-learn library in a Jupyter Notebook environment, attendees will build and evaluate simple models on real-world datasets, such as predicting house prices or classifying spam messages. The session will also touch on important topics like overfitting, train-test split, and the basics of model tuning. By the end of the workshop, participants will gain a clear understanding of how to approach ML problems, build a basic model, and evaluate its performance.

Prerequisites

Fundamentals of programming (preferably in Python), Data Structures and Algorithms

Software Required

Ideally Python IDLE and Pycharm but we can also utilize Google Co-lab or Jupyter notebook. Stable Internet Connection.

Organized by

Black in Robotics (BiR) is a new organization that was born to address the systemic inequities found in our robotics community by focusing on three primary pillars - community, advocacy, and accountability. We want to bring the robotics community together around these initiatives!Black in Robotics brings together a global network of Black Roboticists, Allies, and Organizational Sponsors contributing to the goal of enhancing diversity, inclusion and equity in robotics.We believe that to see increased presence of black and under-represented minorities in robotics we must actively build community, advocate for diversity and encourage accountability.Community. Building community through networking and mentorship is a first step to increasing the presence of black and under-represented minorities in the field of robotics. Our objective is to facilitate these connections and support through hosted events and social media. Advocacy. We believe that to effect change, we need to advocate for diversity. We do this by gathering opportunities for talent sourcing, connecting industry, academia and the community. In addition, we purposefully highlight the amazing work being done by our community as a means to increase visibility as well as encourage individuals on their journey. Accountability. We know change is not always immediate, but an important steps is to ensuring progress is to track the progress and highlight success. We hope to work alongside academia and industry to help them find talent, retain talent and highlight progress in increased diversity.To learn more, please see this editorial: “Robots are not immune to bias and injustice” Howard, Kennedy in Science Robotics, 2020.

$5Jun 15 · 10:00 AM PDT