The ML Study Jam is a program designed to provide students with hands-on experience in Machine Learning (ML) using Google's TensorFlow framework. The study jam is aimed at helping students learn the fundamentals of ML, including data preprocessing, model creation, training, and evaluation.
The program is conducted over a period of several weeks and consists of a series of offline lectures and practical sessions. The lectures cover topics such as supervised and unsupervised learning, neural networks, deep learning, etc. The practical sessions give students the opportunity to work on real-world ML problems and gain hands-on experience with TensorFlow.
The ML Study Jam is open to all students interested in learning ML, regardless of their background or experience.
Upon completion of the program, participants will have gained a comprehensive understanding of ML and TensorFlow and will have the skills necessary to tackle real-world ML problems. Additionally, participants will have the opportunity to network with other students and industry experts, further expanding their knowledge and career opportunities in the field of ML.
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