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Organization >> Präsidium (University board) >>

  opencampus – Machine Learning with Tensor Flow (200497) [Import]

Lecturer
Alexander Ohrt

Details
Seminar, 2 cred.h, ECTS studies, ECTS credits: 5
suitable for students of all faculties, Prüfungsleistung: Portfolio, gehört zum Fachergänzungs-Modul opencampus – Praxisprojekt (FE-BW-OCP)
Ort: Rauminformation - siehe Bemerkung zu Zeit und Ort
Comments on time and place: Ort: Online und Starterkitchen, Kuhnkestraße 6, 24118 Kiel. Alle Termine und jeweiligen Treffpunkte sind auf https://edu.opencampus.sh/ zu finden

Fields of study
Profil-FE ab 1 (ECTS-Credits: 5)

Prerequisites / Organisational information
  • Die Anmeldung zu den Kursen erfolgt über https://edu.opencampus.sh/
  • Die Prüfungsanmeldung erfolgt zentral im Rahmen des Kurses

Contents
opencampus bietet Studierenden aller Kieler Hochschulen Praxisangebote und vernetzt sie mit lokalen Akteuren aus Wirtschaft und Gesellschaft.

What you get

This course is based on the Coursera Specialization for the ""TensorFlow Developer Professional Certificate"" provided by deeplearning.ai. The instructors are Andrew Ng and Laurence Moroney. Andrew Ng was founding lead of the Google Brain Team and is a professor in computer science at Stanford University. Laurence Moroney is an AI developer at Google and author of a large variety of books. The course will provide you with an introduction to machine learning and deep learning, teach you about computer vision using convolutional neural networks, natural language processing, and how to solve time series and forecasting problems. You will apply the newly aquired knowledge to implement your own machine learning project in a team, and at the end of the course you will have a good basis to further proceed into a machine learning career.

All needed software and online course content is free. As Germany's first Coursera for Campus partner, opencampus.sh will in particular provide you with full access to the Coursera online learning platform. This course is part of the opencampus.sh Machine Learning Degree. Participants of the program for the Machine Learning Degree get preferred access to this course.

What you should bring

You already have some programming knowledge and are interested in getting hands-on knowledge in how to train and use machine learning algorithms. Also, you should bring sufficient time. During the week you will be expected to work through the assigned online course content, for which you should calculate 5-8 hours each week. With the start of your Machine Learning project (about four to five weeks into the course), you will in addition need several hours a week to work on that.

In order to receive a certificate of achievement (""Leistungszertifikat""/ ECTS) for this course, active participation is expected, no more than two classes may be missed, and you have to conduct a practice project in a team of 2 to 4 persons. At the end of the course the project has to be presented and a well documented project source code has to be submitted.

Organisatorisches
Die Anmeldung zu diesem und vielen weiteren Kursen erfolgt unter https://edu.opencampus.sh/"

Additional information
Keywords: Unternehmen, Future Skills, Startup, Programmierung, Lean Startup
Expected participants: 40

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