Week 1 - Introduction

Get acquainted with the course and the skills you will acquire throughout the semester.

Tasks

• Fill in the Getting to Know You form.
• Watch the lectures.
• Do the introductory exercises.
• Prepare your coding environment using these instructions.
• Attend your workshop at your assigned time.

Lectures

No.	Title	YouTube	MediaHopper	Slides	Notes
00	Meet the course team (TEMP)			-	-
01	Welcome to MLP!	-	-
02	Hype	-	-
03	The Machine Learning Pipeline	-	-

PDF Export Instructions

1. Click on the “Notes” icon for the lecture.
2. Open the in-browser print dialog (CTRL/CMD+P).
3. Change the Destination setting to Save as PDF.
4. Change the Layout to Landscape.
5. Change the Margins to None.
6. Enable the Background graphics option.
7. Click Save 🎉

Assignments

Code	Title/Link	Due	Additional Info
EX01	Introductory Exercises	-	Password: [Released Week 2]
LAB01	End-to-End Machine Learning	Wed, 26 Jan, 17:00 UK	Solutions released Week 2

Readings (Optional)

Title	Link/Book Title
Chapter 1: The Machine Learning Landscape	Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Chapter 2: End-to-End Machine Learning Project	Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Chapter 2: Statistical Learning	An Introduction to Statistical Learning with Applications in R