Künstliche Intelligenz und Maschinelles Lernen in der Praxis

1. 00:00Hello and welcome to our online machine learning course and
2. 00:04artificial intelligence in practice.
3. 00:06In the following video we want to be briefly introduce the speaker team and
4. 00:11some organizational Provide information about the course.
5. 00:14We're going to be in this video too. briefly describe the learning objectives of this course.
6. 00:19To introduce us briefly, my Name's John Hoether.
7. 00:22I am a master student at the HPI in Data Engineering
8. 00:25and before my studies I worked in an SAP consultancy.
9. 00:28Since my studies, I have founded twice, once a student
10. 00:32AI consulting and one AI start-up.
11. 00:36My name is Christian Warmuth.
12. 00:38Like Johannes, I am also a master student at the HPI and currently write my master thesis on
13. 00:43Artificial intelligence topic and business processes.
14. 00:46I work alongside my studies at SAP and deal with research topics at
15. 00:51other in the field of machine Learning and process mining.
16. 00:54The course is designed to ensure that they do not Prior experience in mathematics and programming
17. 01:00although we need some show examples with code.
18. 01:05The online course is for all interested in this area and
19. 01:09an extension of our offer an entry-level course.
20. 01:13So here's the hint again. on our basic course, artificial intelligence
21. 01:17and machine learning for beginners.
22. 01:22Of course, we recommend you take the Topic and motivation to learn new things.
23. 01:27This four-week learning objective Courses are the following:
24. 01:31The aim is to have a good understanding of how AI applications and which
25. 01:37Steps in a data-driven project.
26. 01:41We will also show which data Science tasks arise in real projects and
27. 01:46which aspects to consider.
28. 01:48We're going to start with a quick introduction. in the basics of the Python language.
29. 01:55But not fear. It is is not required to
30. 01:58own machine learning algorithms or train models.
31. 02:02For interested participants Participants we put the shown contents in
32. 02:07interactive laptops for to try it yourself.
33. 02:12Even if we do not detail the Mathematics or the technical details,
34. 02:16but materials if interested.
35. 02:22In the first week we will then have a Housing price forecasting in California
36. 02:27and treatment.
37. 02:28We're looking at a real data set. that holds various pieces of information, such as
38. 02:34Location to the sea or population density.
39. 02:36In the 2nd week we will then the basics of recommender systems
40. 02:41and a Implement the proposal system for films.
41. 02:44In the third week then we take a look at it, how to analyze moods in texts.
42. 02:51And then at the end of this course, we will in the last week a machine learning model
43. 02:56build what we use to build with image recognition To recognize sign language from images.
44. 03:01Every week, we'll be adding a theme to this. from the Data Science process and
45. 03:07in detail. For example, Week 1 slightly more focused on data visualization
46. 03:13and the following Weeks of further topics.
47. 03:17In the preparation, we also notes that there are so many current topics from the
48. 03:22ML Research and ML Applications which we have not yet discussed
49. 03:26have. And since we are talking about find exciting and important, we have in the
50. 03:31individual weeks of excursions planned. As an example here, for example, Auto-ML, i.e. systems that
51. 03:38automatically from data Build and deploy models.
52. 03:43The course has a duration of four weeks.
53. 03:45In this case, approximately three to six hours of work.
54. 03:50A confirmation of participation is given on access to more than 50 percent of the course materials.
55. 03:56A proof of performance is available at Receive more than 50 percent of the points.
56. 04:01The endpoint number is composed of points of the 50 percent and 50 percent final exam
57. 04:08from homework.
58. 04:10As a short note at the beginning, the language of the course is German.
59. 04:14For some technical terms, however, we will English terms because they are more common
60. 04:19are. For this purpose, either a statement to the bodies concerned
61. 04:25or a German translation.
62. 04:28We look forward to the next four Weeks, and we hope you do too.
63. 04:34That's it for our Introvideo.
64. 04:36We wish you a lot of fun and see us in the next video.

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