Parallel and Scalable Machine Learning @ JSC

from Monday, 15 January 2018 (09:00) to Wednesday, 17 January 2018 (16:30)


        : Sessions
    /     : Talks
        : Breaks
15 Jan 2018
16 Jan 2018
17 Jan 2018
AM
09:00
Lecture 1 - Introduction to Machine Learning Fundamentals (until 10:30) (Rotunda)
10:30 --- Coffee break ---
11:00
Lecture 2 - PRACE and Parallel Computing Basics (until 12:00) (Rotunda)
09:00
Lecture 5 - Supervised Classification and Learning Theory Basics (until 10:30) (Rotunda)
10:30 --- Coffee Break ---
11:00
Lecture 6 - Classification Applications, Challenges and Solutions (until 12:00) (Rotunda)
09:00
Lecture 9 - Validation and Regularization Techniques (until 10:30) (Rotunda)
10:30 --- Coffee Break ---
11:00
Lecture 10 - Practicals with Validation and Regularization (until 12:00) (Rotunda)
PM
12:00 --- Lunch Break ---
13:30
Lecture 3 - Unsupervised Clustering and Applications (until 15:00) (Rotunda)
15:00 --- Coffee Break ---
15:30
Lecture 4 - Unsupervised Clustering Challenges and Solutions (until 16:30) (Rotunda)
19:00 --- Dinner ---
12:00 --- Lunch Break ---
13:30
Lecture 7 - Support Vector Machines and Kernel Methods (until 15:00) (Rotunda)
15:00 --- Coffee Break ---
15:30
Lecture 8 - Practicals with SVMs (until 16:30) (Rotunda)
12:00 --- Lunch Break ---
13:30
Lecture 11 - Parallelization Benefits (until 15:00) (Rotunda)
15:00 --- Coffee Break ---
15:30
Lecture 12 - Cross-Validation Practicals (until 16:30) (Rotunda)
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