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MLx Fundamentals
MLx Fundamentals

MLx Fundamentals

Unlock the Power of AI: Join OxML 2024's MLx Fundamentals course and embark on a journey into the world of Machine Learning.

Time & Location

May 2024

Virtual Event

About the Event

Building on the accomplishments of our previous programs, and with a commitment to ensuring that all participants, including those new to the theory and fundamentals of modern ML, have a strong foundation, this module is designed to provide comprehensive training in the following key areas:

  • Linear Algebra and Mathematics of Machine Learning: A solid grasp of linear algebra is essential for understanding the mathematical underpinnings of ML.
  • Optimisation: Explore the optimisation techniques crucial for fine-tuning machine learning models and achieving optimal results.
  • Fundamentals of Statistical/Probabilistic ML: Gain a deep understanding of the statistical and probabilistic foundations that form the bedrock of modern ML.
  • Fundamentals of Representation/Deep Learning: Delve into the core concepts of representation and deep learning, essential for grasping the intricacies of advanced ML techniques.

Note: All eligible candidates (with a relevant background in computer science/ML) are welcome to register for this event. (Unlike the other OxML courses, this module is not subject to a selection process).

Registration Fee

  • MLx Fundamentals

    Tax: VAT included



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