Künstliche Intelligenz und Maschinelles Lernen in der Praxis

1. 00:00Welcome to the 2nd week our OpenHPI course, artificial intelligence and
2. 00:05machine learning in practice.
3. 00:07This week, we want to Devote application of the film proposal system.
4. 00:13As an addition to this topic, we will cover these Week the basics of data preprocessing.
5. 00:20First, we will introduce an introduction to the topic Recommender Systems.
6. 00:25Then, if we have a short Take a look at the data set for this week.
7. 00:31Then we will get to the basics for data preprocessing.
8. 00:38After we have practically two Recommenders system, we will have the
9. 00:42Evaluate and evaluate results.
10. 00:46As always, the week is closed with a Summary of the contents of the second week.
11. 00:53Use this week is a proposal system for films.
12. 00:59Based on the interests and assessment of the We will propose films to users.
13. 01:06As a supplementary topic we will cover these This week the topic of data preprocessing.
14. 01:13Among other things, we are talking about the subject of what we are missing with
15. 01:16values or with unrealistic data.
16. 01:21The learning objectives for these Week are the following:
17. 01:26The first goal of this week is to get to the basics and the use of Recommender Systems.
18. 01:34In addition, the goal is an understanding of the importance and the steps of data processing.
19. 01:41We look forward very much to Week in which we now recommend Recommender Systems
20. 01:45as application and data preprocessing as an additional topic.

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