19330101
Lecture
WiSe 21/22: Machine Learning for Data Science
Eirini Ntoutsi
Comments
The course provides an overview of machine learning methods and algorithms for different learning tasks, namely supervised, unsupervised and reinforcement learning.
In the first part of the course, for each task the main algorithms and techniques will be covered including experimentation and evaluation aspects.
In the second part of the course, we will focus on specific learning challenges including high-dimensionality, non-stationarity, label-scarcity and class-imbalance.
By the end of the course, you will have learned how to build machine learning models for different problems, how to properly evaluate their performance and how to tackle specific learning challenges.
Contents:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Outlier detection
- Machine learning for high-dimensional data
- Machine learning in non-stationary environments
- Machine learning with imbalanced data
close32 Class schedule
Additional appointments
Thu, 2022-02-17 12:00 - 14:00Klausur MLDS
Location:
Virtueller Raum 01
Regular appointments
Wed, 2021-10-20 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-10-27 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-11-03 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-11-10 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-11-17 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-11-24 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-12-01 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-12-08 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2021-12-15 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2022-01-05 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2022-01-12 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2022-01-19 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2022-01-26 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2022-02-02 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2022-02-09 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Wed, 2022-02-16 16:00 - 18:00
Maschinelles Lernen für Data Science (Serientermin 1)
Thu, 2021-10-21 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-10-28 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-11-04 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-11-11 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-11-18 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-11-25 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-12-02 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-12-09 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2021-12-16 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2022-01-06 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2022-01-13 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2022-01-20 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2022-01-27 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2022-02-03 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2022-02-10 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)
Thu, 2022-02-17 12:00 - 14:00
Maschinelles Lernen für Data Science (Serientermin 2)