opencampus.sh Machine Learning Program
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opencampus.sh Machine Learning Program
Course Kick-Off
How do I choose a course?
FAQ
Courses
Einführung in Data Science und maschinelles Lernen
Machine Learning with TensorFlow
Deep Learning from Scratch
Deep Learning for Computer Vision
Application of Transformer Models
Generative Adversarial Networks
Requirements for a Certificate of Achievement or ECTS
Preparation
Motivation - Things you can do with NLP
Week 1 - General Introduction to the course
Week 2 - Sentiment Analysis with Logistic Regression
Week 3 - Sentiment Analysis with Naïve Bayes
Week 4 - Vector Space Models
Week 5 - Machine Translation and Document Search
Week 6 - Autocorrect
Week 7 - Part of Speech Tagging and Hidden Markov Models
Week 8 - Autocomplete and Language Models
Week 9 - Word embeddings with neural networks
Week 10 - Final Projects
Machine Learning für die Medizin
Events
Coding.Waterkant 2022
Prototyping Week
Projects
Requirements
Possible Projects
Past Projects
Project Template
Additional Resourses
Glossary
Coursera
Selecting the Optimizer
Choosing the Learning Rate
Learning Linear Algebra
Learning Python
Support Vector Machines
ML Statistics
Tools
Git
RStudio
Google Colab
Zoom
Powered By
GitBook
Generative Adversarial Networks
This section is currently re-written. More details on the GAN course will follow in this section soon.
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Week 8 - Presentation of the Final Projects
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Requirements for a Certificate of Achievement or ECTS
Last modified
1yr ago
