CAMS Machine Learning

Bringing AI to All

Who CAMS Machine Learning Is:

Founded in 2023, the CAMS Machine Learning Club is a student-run club at the California Academy of Mathematics and Science in Carson, CA. Our mission is to bring together a dedicated community of students to learn about and discuss a future with machine learning and artificial intelligence.

Topics We Cover:

In weekly meetings, we discuss the fundamentals of machine learning alongside the latest cutting-edge developments in the field. Our introductory series introduces new members to machine learning concepts and applications, such as the basics of neural networks, gradient descent, loss functions, and backpropagation. After this introduction, members learn to implement these concepts in code in collaborative projects.

Future Club Plans:

In the near future, we seek to expand the club to reach more individuals and facilitate an environment of growth where members can best learn and build artificial intelligence projects. We also seek to host and participate in machine learning competitions to promote the development of skills necessary for using machine learning. Additionally, we hope to bring a dedicated machine learning course to the school to devote more resources to learning about this critical field and to reach more students.

Sponsorship:

We are seeking sponsors to support our mission scale up our infrastructure. If you are interested in sponsoring us please email us at camsmachinelearning@gmail.com.

Club Discussions

In this semester, our club discussions will explore a range of engaging topics. We will delve into the ethical aspects of AI art and the utilization of copyrighted human creations in AI development. Additionally, we'll examine the path toward achieving artificial general intelligence (AGI), ponder the future of AI-human interfaces, and discuss the role of AI in defense. Our aim is to foster discussions that resonate not only with our club members but also with a wider audience, as AI affects everyone in various ways. If you have specific topics you'd like us to cover, please don't hesitate to reach out through our 'Contact Us' page.

Discussion Slides Topic
Discussion 1 Slide Link 1 Topic 1
Discussion 2 Slide Link 2 Topic 2
Discussion 3 Slide Link 3 Topic 3
Discussion 4 Slide Link 4 Topic 4
Discussion 5 Slide Link 5 Topic 5
Discussion 6 Slide Link 6 Topic 6
Discussion 7 Slide Link 7 Topic 7
Discussion 8 Slide Link 8 Topic 8
Discussion 9 Slide Link 9 Topic 9
Discussion 10 Slide Link 10 Topic 10

Sessions

Here is a list of the upcoming lessons we have planned, which will be delivered as YouTube videos. We highly recommend watching these videos, as the club projects we undertake will be closely related to the content covered in these lessons. Below, you'll find the list of videos along with their corresponding topics. If you encounter any issues accessing these videos, please visit our YouTube channel through the 'Contact Us' page for assistance. Should you have any questions or require further clarification, please do not hesitate to reach out to us. We are here to help!

Lesson Video Topic
Lesson 1 Video: 1 Intro to Kaggle: Running your Teachable Machine Model
Lesson 2 Video Link 2 Topic 2
Lesson 3 Video Link 3 Topic 3
Lesson 4 Video Link 4 Topic 4
Lesson 5 Video Link 5 Topic 5
Lesson 6 Video Link 6 Topic 6
Lesson 7 Video Link 7 Topic 7
Lesson 8 Video Link 8 Topic 8
Lesson 9 Video Link 9 Topic 9
Lesson 10 Video Link 10 Topic 10

Resources

Below are some of the resources we encourage someone to look at if they seek to learn more or better understand the topic in more detail:

YouTube:

  • 3Blue1Brown Neural Networks

    This YouTube playlist is created by the popular educational channel 3Blue1Brown. It offers an excellent visual introduction to the fundamentals of neural networks and deep learning. The videos use intuitive animations and explanations to help learners understand complex concepts, making it a fantastic resource for those new to neural networks.

  • 3Blue1Brown Linear Algebra

    This is another playlist by 3Blue1Brown that focuses on linear algebra, a fundamental mathematical subject in machine learning and data science. The videos provide clear and intuitive explanations of linear algebra concepts, making it easier for viewers to grasp the mathematical foundations of machine learning.

Websites:

  • AI and Machine Learning Courses by Andrew Ng

    This website offers a series of online courses on AI and machine learning, created by Dr. Andrew Ng, a prominent figure in the field. The courses cover a wide range of topics, from the basics to advanced concepts. They include video lectures, hands-on assignments, and certification options, making it an excellent resource for both beginners and experienced learners.

  • HuggingFace - Machine Learning Model Hosting, Collaboration Platform

    HuggingFace is a platform that hosts a collection of pre-trained machine learning models, making it easier for developers and researchers to access and use state-of-the-art models for various natural language processing (NLP) tasks. It also provides collaboration features, allowing teams to work on AI projects collaboratively.

  • Tensorflow Tutorials

    TensorFlow is one of the most popular open-source machine learning frameworks. The TensorFlow Tutorials website offers a comprehensive set of tutorials and guides to help you get started with TensorFlow. These tutorials cover a wide range of topics, including deep learning, neural networks, and more.

  • ML Basics with Tensorflow Keras

    This resource is a part of the official TensorFlow documentation and focuses on teaching machine learning basics using TensorFlow's Keras API. Keras is known for its simplicity and ease of use, making it a great starting point for those new to machine learning. The tutorials here cover classification tasks and provide practical hands-on experience.

Contact Us

Feel free to reach out to us by the Contacts and Resources that are listed below.

Leadership

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