From 4ef9b71d0960efbf168fd7eb1a9437bc76b34aea Mon Sep 17 00:00:00 2001
From: Matthew Archer <36638242+ma595@users.noreply.github.com>
Date: Thu, 11 Jul 2024 08:47:24 +0100
Subject: [PATCH] Added ML intro, Repo cloning, virtual env, colab/jupyternb
 slides (#78)

* Added ML intro, Repo cloning, virtual env, colab/jupyternb slides

* Remove first sentence

---------

Co-authored-by: Surbhi Goel <surbhigoel77@github.com>
---
 slides/slides.qmd | 39 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 39 insertions(+)

diff --git a/slides/slides.qmd b/slides/slides.qmd
index 8b47ee3..f8cf1b8 100644
--- a/slides/slides.qmd
+++ b/slides/slides.qmd
@@ -129,6 +129,12 @@ Helping Today:
 
 # Part 1: Neural-network basics -- and fun applications.
 
+## Machine learning
+
+- Machine learning is accomplished by learning a function that can represent the data.
+
+- Learning can be supervised, unsupervised, semi-supervised, self-supervised, reinforcement etc. 
+
 ## Fitting a straight line I {.smaller}
 
 - Consider the data:
@@ -360,6 +366,39 @@ Image source: [3Blue1Brown](https://www.3blue1brown.com/topics/neural-networks)
   - I have never met anyone actually training models in C++; I find it a bit weird.
 - See the PyTorch website: [https://pytorch.org/](https://pytorch.org/)
 
+## Getting to the Exercise
+ *Github Repository Cloning*
+
+- Navigate to 
+[https://tinyurl.com/ml-iccs-24](https://tinyurl.com/ml-iccs-24)
+- Go to terminal and type in the below command
+- `git clone https://github.com/Cambridge-ICCS/practical-ml-with-pytorch`
+
+## Using online platform
+*Using Colab*
+
+`https://tinyurl.com/4arrjjt5`
+
+*Using Jupyter Notebook*
+
+- Download the repo from the [https://tinyurl.com/ml-iccs-24](https://tinyurl.com/ml-iccs-24)
+- `cd <path_to_the_repo>`
+- `jupyter notebook`
+- exercises/01_penguin_classification.ipynb
+
+## Creating virtual environment
+*Installing with venv*
+
+- `python3 -m venv venv`
+- `source venv/bin/activate`
+
+*Installing with conda*
+
+- `conda create -n ml-workshop "python>=3.9.10"`
+- `conda activate ml-workshop`
+- `cd practical-ml-with-PyTorch`
+`pip install . `
+
 
 # Other resources