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
Intermediate Machine Learning (Legacy SS2023)
Intermediate Machine Learning
Time Series Prediction
Machine Learning für die Medizin
Deep Dive into LLMs
Practical Engineering with LLMs
Python: From Beginner to Practictioner
Archive
Deep Learning from Scratch
Requirements for a Certificate of Achievement or ECTS
Preparation
Week 1 - General Introduction
Week 2 - Introduction to Deep Learning and Neural Network Basics
Week 3 - Shallow Neural Networks
Week 4 - Deep Neural Networks
Week 5 - Practical Aspects of Deep Learning
Week 6 - Optimization Algorithms
Week 7 - Hyperparameter Tuning
Week 8 - Machine Learning Strategy 1 & 2
Week 9 - Neural Networks Architecture | Project Checkpoint
Week 10 - Bonus: most voted topic
Week 11 - Presentation of Final Projects, Part I
Week 12 - Presentation of Final Projects, Part II
Deep Learning for Computer Vision
Application of Transformer Models
Generative Adversarial Networks
Lehren und Lernen mit KI
Reinforcement Learning
Machine Learning Operations (MLOps)
Mathematik für maschinelles Lernen
TensorFlow Course: Week 10 - Special Issues Considering Your Final Projects
Events
Coding.Waterkant 2023
Prototyping Week
Projects
How to Start, Complete, and Submit Your Project
Possible Projects
Past Projects
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
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Week 10 - Bonus: most voted topic
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Week 9 - Neural Networks Architecture | Project Checkpoint
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Week 11 - Presentation of Final Projects, Part I
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