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Hi @mary-tziraki@andrealtmann @YipengHu-
This is an open thread to describe the episode list. My understanding of the three days is:
Day 1: Basic statistics and transition to ML
Day 2: "Classic" ML routines transitioning to deep learning
Day 3: More interactive session on deep ML project.
The goal is to break each day into episodes (individual units), roughly 3-5 per day. They don't all have to be the same length, some can be longer than others - it's just that they form one self-contained unit.
You can see some examples already in the episode.
So let's start by getting the titles down for each of the episodes, learning objectives down for each of these episodes. WE can use this thread and close it when agreed the episode list.
The text was updated successfully, but these errors were encountered:
Hi @mary-tziraki @andrealtmann @YipengHu-
This is an open thread to describe the episode list. My understanding of the three days is:
The goal is to break each day into episodes (individual units), roughly 3-5 per day. They don't all have to be the same length, some can be longer than others - it's just that they form one self-contained unit.
You can see some examples already in the episode.
So let's start by getting the titles down for each of the episodes, learning objectives down for each of these episodes. WE can use this thread and close it when agreed the episode list.
The text was updated successfully, but these errors were encountered: