Machine Learning Demystified: Build & Apply AI is an interactive workshop designed to break down the core concepts of Machine Learning (ML) and artificial intelligence (AI) in an accessible way. Participants will learn how neural networks power modern AI applications, from image recognition to natural language processing.
The course will explore different types of neural networks, including Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), and Transformers, highlighting their real-world applications in areas such as healthcare, finance, and entertainment.
Through hands-on coding sessions, attendees will build and train machine learning models using Python, TensorFlow, and Google Colab. They will gain practical experience in working with AI frameworks and datasets, applying ML techniques to solve real-world problems.
The workshop also showcases AI’s creative potential, demonstrating how it can generate images, compose music, and engage in human-like conversations. Participants will experiment with tools such as Google Teachable Machine, OpenAI APIs, and Hugging Face models, enabling them to create interactive ML projects without extensive prior experience.
This workshop is ideal for students and professionals looking to understand and apply machine learning concepts effectively.
Schedule:
- Dates: Feb 19, Feb 26, March 5
- Time: 5:30 PM – 6:30 PM
- Location: Livermore 101
The Developer Student Club is a registered student organization at Texas Tech University.
