MIG Workshop: Machine learning for biology

Lead instructors: Eva Hamrud

This course will introduce major concepts of machine learning, with application in life sciences.

You will learn how to evaluate the performance of machine learning models, assess overfitting and choose the parameters of the methods using cross-validation. We will practice on a few examples.

Pre-requisite: R programming skills
(see our latest course for a refresher, https://github.com/melbintgen/intro-to-r)

Please note, $25 booking fee is fully refunded upon workshop attendance.

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Workshop Registration Cancellation Policy

To secure your spot in a workshop, we require a nominal fee, which will be fully refunded upon your attendance at the workshop. This policy helps ensure commitment and allows us to manage resources effectively.

Cancellations Made in Advance: If you need to cancel your registration, you must notify us at least 72 hours before the workshop start time. In such cases, the nominal fee will be fully refunded. Refunds will happen within one week of the event.

No-Show Policy: If you do not attend the workshop and have not cancelled in advance, the nominal fee will be retained and will not be refunded.

Late Cancellations: Cancellations made less than 72 hours before the workshop will be treated as a no-show, and the nominal fee will not be refunded.

Illness or Exceptional Circumstances: Cancellations due to illness or exceptional circumstances will be considered on a case-by-case basis, and refunds will be provided at MIG's discretion.

This policy ensures fairness to all participants and helps us plan workshops efficiently. Thank you for your understanding.

If you have any questions or need assistance with your registration, please contact us at

Host or Publisher Melbourne Integrative Genomics