Data Science and Artificial Intelligence

🦄 Lecture Information

The introductory course Data Science and Artificial Intelligence provides an overview of basic methods for Statistics, Dataset Processing, Machine Learning, and Deep Learning.

Here we provide a set of public slides and exercises.

🎓 Student Information

Studies of the University of Applied Sciences Kempten can find the time table for lectures and excercises in our Moodle-Course.

📃 Slides

• L01_Introduction
• L02_Visualization_and_Statistics
• L03_Clustering
• L04_Dimension_Reduction
• L05_Trees_and_Forests
• L06_Classification_and_Regression
• L07_Introduction_to_Deep_Learning
• L08_Introduction_to_Backpropagation
• L09_Convolutional_Neuronal_Networks_Part_1
• L10_Convolutional_Neuronal_Networks_Part_2
• L11_Introduction_to_Sequence_Modeling
• L12_Deep_Learning_Applications
• L13_Recap

📓 Exercises

• L01_Introduction
• L02_Visualization_and_Statistics
• L03_Clustering
• L04_Dimension_Reduction
• L05_Trees_and_Forests
• L06_Classification_and_Regression
• L07_Introduction_to_Deep_Learning
• L08_Introduction_to_Backpropagation
• L09_Convolutional_Neuronal_Networks_Part_1
• L10_Convolutional_Neuronal_Networks_Part_2
• L11_Introduction_to_Sequence_Modeling
• L12_Deep_Learning_Applications
• L13_Recap

📝 Assignments

• L01_Introduction
• L02_Visualization_and_Statistics
• L03_Clustering
• L08_Introduction_to_Backpropagation
• L09_Convolutional_Neuronal_Networks_Part_1
• L11_Introduction_to_Sequence_Modeling
• L12_Deep_Learning_Applications

🏆 Competitions

• L08_Introduction_to_Backpropagation
• L09_Convolutional_Neuronal_Networks_Part_1
• L11_Introduction_to_Sequence_Modeling
• L12_Deep_Learning_Applications