Online Course – 4th Edition
Python Machine Learning in Biology
July 12th-16th, 2021
REGISTRATION IS CLOSED
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Online live sessions from Monday to Friday from 14:30 to 16:30 and 17:30 to 20:00 (GMT+2, Madrid time zone).
The field of biological sciences is becoming increasingly information-intensive and data-rich. For example, the growing availability of DNA sequence data or clinical measurements from humans promises a better understanding of the important questions in biology. However, the complexity and high-dimensionality of these biological data make it difficult to pull out mechanisms from the data. Machine Learning techniques promise to be useful tools for resolving such questions in biology because they provide a mathematical framework to analyze complex and vast biological data. In turn, the unique computational and mathematical challenges posed by biological data may ultimately advance the field of machine learning as well.
This course will cover basics of the Python programming language as well as the pandas and sklearn Python libraries for data wrangling and machine learning.
By the end of this course, participants will understand:
This course is intended to give participants a conceptual overview of machine learning algorithms and an intuition for the mathematics underlying them, equipping participants to be able to choose and implement appropriate models for biological datasets.
Graduate or postgraduate degree in Life Sciences and basic knowledge of Statistics. While some Python knowledge is useful, the course will cover basic Python skills necessary to input, clean, and explore data as well as build and evaluate machine learning models.
All participants must have a personal laptop and a good internet connection (Windows, Macintosh, Linux).
July 12th-16th, 2021
Online live sessions from Monday to Friday (GMT+2, Madrid time zone):
14:30 to 16:30 Q&A session and live coding with the instructor
17:30 to 20:00 Coding exercises (supervised by the instructor)
35 hours
22.5 hours of online live lessons, plus 12.5 hours of recorded classes and assignments.
This course is equivalent to 1 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School.
The recognition of ECTS by other institutions depends on each university or school.
English
Places are limited to 16 participants and will be occupied by strict registration order.
Participants who have completed the course will receive a certificate.
Click here to see the full Program
Monday
Python Foundations
Tuesday
Supervised Machine Learning: Classification
Wednesday
Supervised Machine Learning: Classification
Thursday
Unsupervised Machine Learning
Friday
You can check the list of Ambassador Institutions. If you want your institution to become a Transmitting Science Ambassador please contact us at communication@transmittingscience.com
Discounts are not cumulative and apply only on the Course Fee. We offer the possibility of paying in two instalments (contact haris.saslis@transmittingscience.com).
5 % Discount
Former participants will have a 5 % discount on the Course Fee.
20 % Discount
20 % discount on the Course Fee is offered for members of some organizations (Ambassador Institutions). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
40 % Discount
Unemployed scientists living in Spain may benefit from a 40 % discount on the Course Fee. If you would like to enquire about this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict registration order.