sponsored by Helmholtz Information & Data Science Academy (HIDA)
in cooperation with Core Facility Statistical Consulting at Helmholtz Zentrum München - German Research Center for Environmental Health (Helmholtz Munich)
Introduction to Machine Learning
In the Introduction to Machine Learning course, we delve into the practical application of machine learning techniques for data analysis using Python. This course is designed for individuals who want to start using machine learning for data analysis, focusing less on traditional statistics and more on predictive modeling. We will review the application of linear regression and then generalize this to logistic regression and shrinkage methods. We will also cover k-nearest neighbors and decision trees as alternative methods. While applying these methods, we will also apply model evaluation and selection, including cross-validation and performance metrics.
By the end of the course, you will be able to confidently select and utilize suitable machine learning techniques, interpret your findings effectively, and apply them to real-world scenarios.
Prerequisites: Programming skills with Python, e.g. course Introduction to Python. Basic understanding of statistical methods, in particular regression analysis, is recommended, e.g. course Introduction to Statistics.
More details here.
Course Days and Times
Oct 22, 2024, 09:00 - 17:00
Oct 23, 2024, 09:00 - 17:00
NOTE: Registration will open September 24, 2024, 12 pm.
Additional Information
The course content is coordinated, so we strongly recommend that you do not miss any part of the course. To receive a certificate we expect full time and active participation.
Your registration for this course is binding. If you need to leave/miss the course for a period of time, please let us know in advance.
There is no waiting list for this course! If someone withdraws from a course, their place is automatically reopened. We therefore advise you to keep an eye on the registration in case the course is full and you would like to attend. Also, this course will be offered again in the future - you can check our HIDA Course Catalog for updates.
This course is free of charge.
