Designed for high school students
Designed for high school students
Machine Learning @ Berkeley - Ignite
Machine Learning @ Berkeley - Ignite
Machine Learning @ Berkeley - Ignite
Are you a local Bay Area high school junior or senior looking to explore machine learning for the first time? Join Machine Learning @ Berkeley for our second-ever high school bootcamp on August 31 and September 1, hosted by UC Berkeley students!
Deadline to apply has been extended to August 21!
Are you a local Bay Area high school junior or senior looking to explore machine learning for the first time? Join Machine Learning @ Berkeley for our second-ever high school bootcamp on August 31 and September 1, hosted by UC Berkeley students!
Deadline to apply has been extended to August 21!
Agenda
Introduction to Python
Introduction to Python
Learn about the basics of writing Python code, including variables, loops, functions, and basic data structures, and build your own TypeRacer project
Agenda
Guest Speaker Spotlights
Hear from a panel of ML@B students about life at UC Berkeley and researchers working at Berkeley AI Research and learn what it takes to succeed in a machine learning career!
Agenda
Guest Speaker Spotlights
Hear from a panel of ML@B students about life at UC Berkeley and researchers working at Berkeley AI Research and learn what it takes to succeed in a machine learning career!
Agenda
Introduction to SciKit-Learn and Data Science Basics
Explore ML algorithms like K Nearest Neighbors, Decision Trees, and Linear Regression using the scikit-learn package, as well as the basics of processing your data for machine learning projects with NumPy and Pandas.
Agenda
Machine Learning Projects
Apply your new Python and ML knowledge to build a project tackling a real-world problem. Projects will be mentored by ML@B students and will involve finetuning foundation models or creating your own regression and classification models.
Agenda
Guest Speaker Spotlights
Hear from a panel of ML@B students about life at UC Berkeley and researchers working at Berkeley AI Research and learn what it takes to succeed in a machine learning career!
Agenda
Introduction to SciKit-Learn and Data Science Basics
Introduction to SciKit-Learn and Data Science Basics
Explore ML algorithms like K Nearest Neighbors, Decision Trees, and Linear Regression using the scikit-learn package, as well as the basics of processing your data for machine learning projects with NumPy and Pandas.
Agenda
Machine Learning Projects
Apply your new Python and ML knowledge to build a project tackling a real-world problem. Projects will be mentored by ML@B students and will involve finetuning foundation models or creating your own regression and classification models.
Agenda
Machine Learning Projects
Apply your new Python and ML knowledge to build a project tackling a real-world problem. Projects will be mentored by ML@B students and will involve finetuning foundation models or creating your own regression and classification models.
Our Mission
About Our Team!
About Our Team!
Machine Learning at Berkeley (ML@B) is a student-run organization based at the University of California, Berkeley, dedicated to building and fostering excellence in ML. Our education team in particular is very excited about new initiatives like this bootcamp that help to spread machine learning and computing resources to students who might not have the chance to learn about it in school. All students contributing to this camp are volunteers and are very passionate about giving back to the community.
Machine Learning at Berkeley (ML@B) is a student-run organization based at the University of California, Berkeley, dedicated to building and fostering excellence in ML. Our education team in particular is very excited about new initiatives like this bootcamp that help to spread machine learning and computing resources to students who might not have the chance to learn about it in school. All students contributing to this camp are volunteers and are very passionate about giving back to the community.
Testimonials
45 students attended last year!
Here's what they have to say:
45 students attended last year!
Here's what they have to say:
“I really liked how they went in depth about every single thing and how inclusive the camp was. I have never coded before and I did not feel stupid or left [out] once because of it.”
“I really liked how they went in depth about every single thing and how inclusive the camp was. I have never coded before and I did not feel stupid or left [out] once because of it.”
“I really liked how they went in depth about every single thing and how inclusive the camp was. I have never coded before and I did not feel stupid or left [out] once because of it.”
“I liked the friendly environment of the bootcamp…and hear[ing] from the panel of ML@B students about life at Cal and their passions for machine learning.”
“I liked the friendly environment of the bootcamp…and hear[ing] from the panel of ML@B students about life at Cal and their passions for machine learning.”
“I liked the friendly environment of the bootcamp…and hear[ing] from the panel of ML@B students about life at Cal and their passions for machine learning.”
"It was a great experience because I learned a lot about I can apply ML to everyday life as well as advancing the science world and maybe my personal interests as well."
"It was a great experience because I learned a lot about I can apply ML to everyday life as well as advancing the science world and maybe my personal interests as well."
"It was a great experience because I learned a lot about I can apply ML to everyday life as well as advancing the science world and maybe my personal interests as well."
"It was a great experience and I enjoyed it thoroughly. Great food and great people and also great topics :D"
"It was a great experience and I enjoyed it thoroughly. Great food and great people and also great topics :D"
"It was a great experience and I enjoyed it thoroughly. Great food and great people and also great topics :D"