From 05b6569a159f75642bbcf438a1a9855efc9242d0 Mon Sep 17 00:00:00 2001
From: oschmanf <franziska.oschmann@id.ethz.ch>
Date: Wed, 7 Sep 2022 11:08:47 +0200
Subject: [PATCH] Update of intro for ML workshop 2022

---
 ...pen_this_file_to_see_the_presentation.html | 74 +++++++++----------
 1 file changed, 37 insertions(+), 37 deletions(-)

diff --git a/intro_presentation/open_this_file_to_see_the_presentation.html b/intro_presentation/open_this_file_to_see_the_presentation.html
index bf81eca..bd3d41c 100644
--- a/intro_presentation/open_this_file_to_see_the_presentation.html
+++ b/intro_presentation/open_this_file_to_see_the_presentation.html
@@ -116,16 +116,16 @@ class: remark-slide-content-large
 
 ## About Scientific IT Services (SIS)
 
-- IT Services close to research
+- IT Services close to research.
 
 
-- 7 years old, 46 people as of Sept. 2021.
+- 8 years old, 44 people as of Sept. 2022.
 
 
-- Zoo of experts with diverse background
+- Zoo of experts with diverse backgrounds.
 
 
-- Quick presentation from Thomas Wuest on beginning of day 2.
+- Quick presentation from Thomas Wuest during day 3.
 
 ---
 class: remark-slide-content-large
@@ -139,10 +139,10 @@ class: remark-slide-content-large
 
 * Dr. Franziska Oschmann
 
-* Dr. Mikolaj Rybinski
-
 * Dr. Uwe Schmitt
 
+* Dr. Manuel Weberndorfer
+
 
 
 ---
@@ -473,16 +473,12 @@ class: remark-slide-content-large
 # Day 1
 
 
-- Chapter 1: General Introduction to Machine Learning
-
-
-- Chapter 2: Introduction to Classification
-
-
-
-- Chapter 3: Overfitting and Cross Validation
-
-
+- Chapter 1: General Introduction to Machine Learning<br>
+<br>
+- Chapter 2: Introduction to Classification<br>
+<br>
+- Chapter 3: Overfitting and Cross Validation<br>
+<br>
 - Chapter 4: Measuring Quality of a Classifier
 
 
@@ -493,12 +489,10 @@ class: remark-slide-content-large
 # Day 2
 
 
-- Chapter 5: Pipelines and Hyperparameter Optimisation
-
-
-- Chapter 6A: Classification Algorithms Overview
-
-
+- Chapter 5: Pipelines and Hyperparameter Optimisation<br>
+<br>
+- Chapter 6A: Classification Algorithms Overview<br>
+<br>
 - Chapter 6B: Classification Algorithms Overview
 
 
@@ -507,8 +501,8 @@ class: remark-slide-content-large
 
 # Day 3
 
-- Chapter 7: Introduction to Regression
-
+- Chapter 7: Introduction to Regression<br>
+<br>
 - Chapter 8: Introduction to Neural Networks
 
 ---
@@ -523,15 +517,10 @@ class: remark-slide-content-large
 
 # About exercises
 
-- We have exercise sections during the script where you will work on your own.
-
-
-- We setup zoom breakout rooms for this.
-
-
-- Don't hesitate to ask for assistance.
-
-
+- We have exercise sections during the script where you will work on your own.<br>
+<br>
+- Don't hesitate to ask for assistance.<br>
+<br>
 - We also have optional exercises if you get bored.
 
 ---
@@ -541,13 +530,24 @@ class: remark-slide-content-large
 
 # Meet the experts
 
-- On every workshop day we are around from 4pm to 5pm to discuss personal questions.
+- On every workshop day we are around from 4pm to 5pm to discuss personal questions.<br>
+<br>
+- Maybe you have already plans to apply ML and want to discuss this.<br>
+<br>
+- All question are welcome!
 
-- Same zoom session as during the workshop.
 
-- Maybe you have already plans to apply ML and want to discuss this.
+---
 
-- All question are welcome!
+class: remark-slide-content-large
+
+# Apero
+
+- When?: 15th of September, after the course.<br>
+<br>
+- Where?: OCT Coffeebar.<br>
+<br>
+- Why?: Personal and professional exchange.
 
 
 ---
-- 
GitLab