The Learning Roadmap corresponds to the aggregated learning content that students should follow. It can be proposed in a sequential way or in a freer navigation process and is structured in weeks or in course units (topics) according to the leaning roadmap initially proposed by the course instructor.

It is highly recommended that each student takes into consideration the learning outcomes to be achieved and the methodological approach for the course and decide about the number of times to revisit each learning content, such as the class content, activities, documents to read/analyse or assignments, and the adequate learning path to its needs.

Week 1

		Topic	Date	Slides	Description
	Video lecture	Video 1	Week of February 7th, 2025	Lecture 1 video	THE HISTORY OF MACHINE LEARNING AI vs DATA SCIENCE vs MACHINE LEARNING HOW AND WHEN TO USE ML FOR BUSINESS
	In-Class Lecture	Lecture 1 class	-		MACHINE LEARNING CONCEPTS

		Access
	Exercise(s)	Python setup Notebook 1

Week 2

		Topic	Date	Slides	Description
	Video lecture	Video 2	Week of Feb 14th, 2025	Lecture 2 video	LINEAR REGRESSION ESTIMATING PARAMETERS OF LINEAR REGRESSION EVALUATION METRICS REGRESSION OVERFITTING AND REGULARIZATION
	In-Class Lecture

	Quiz	Lecture 2 quiz (10 mins)	Opens Feb 8, at 10.30pm Closes Feb 14, at 12:30am (before the class)
	Project details	Project description
	Document for stating your preferences	Project preferences	-
	Notebook	Notebook 2

Week 3

		Topic	Date		Other materials
	Video lecture	Video 3	Week of Feb 21, 2025	Lecture 3 video	LOGISTIC REGRESSION  EVALUATION METRICS BINARY CLASSIFICATION    EVALUATION METRICS MULTICLASS CLASSIFICATION
	In-Class Lecture	Lecture 3 class	-

		Access	Deadline	Other materials
	Quiz	Lecture 3 quiz (10 mins)	Opens Feb 14, at 14.30pm Closes Feb 21, at 12:30am (before the class)
	HW1	Homework 1	due March 7th, 12.30 before class
	Notebook	Notebook 3

Week 4

		Topic	Date	Slides	Description
	Video lecture	Video 4	Week of February 28th, 2025	Lecture 4 video	DATA PREPROCESSING MODEL SELECTION
	In-Class Lecture	Lecture 4 class  Kahoot Lecture 4

		Access	Deadline	Other materials
	Quiz	Lecture 4 quiz (15 mins)	Opens Feb 21st 14:30 Closes Feb 28th, at 12:30am (before the class)
	Notebook	Notebook 4

Week 5

		Topic	Date	Slides	Description
	Video lecture	Video 5	Week of Mar 7th, 2025	Lecture 5 video	DECISION TREES ENSEMBLE LEARNING
	In-Class Lecture	Kahoot Lecture 5	-

		Access	Deadline	Other materials
	Quiz	Lecture 5 quiz (15 mins)	Opens Feb 28th 14:20 Closes March 7th, at 12:30am (before the class)
	Midterm project template	Project Template
	Notebook	Notebook5

	Homework	Homework 2

Week 6

		Topic	Date	Slides	Description
	Video lecture	Video 6	Week of Mar 14th, 2025	Lecture 6 video	SIMILARITY, DISTANCE AND NEAREST NEIGHBORS CLUSTERING DIMENSIONALITY REDUCTION
	In-Class Lecture	Kahoot Lecture 6	-

		Access	Deadline	Other materials
	Quiz	Lecture 6 quiz (15 mins)	Opens March 7th 14:30 Closes March 154th at 12:30 (before the class)
			-
	Notebook	Notebook 6

Week 7

		Topic	Date	Slides	Description
	Video lecture	Video 7	Week of Apr 4th, 2025	Lecture 7 video	MODEL INTERPRETABILITY FAIRNESS AND BIAS IN MACHINE LEARNING
	In-Class Lecture	Kahoot Lecture 7

		Access	Deadline	Other materials
	Quiz 7	Lecture 7 quiz (15 mins)	Opens Monday, Mar 17th 8am Closes April 4th, 12:30, before class
	Notebook	Notebook 7

Week 8

		Topic	Date	Slides	Description
	Video lecture	Video 8	Week of Apr 11th, 2025	Lecture 8 video	INTRODUCTION TO NEURAL NETWORKS CONVOLUTIONAL NEURAL NETWORKS
	In-Class Lecture	Kahoot Lecture 8

		Access	Deadline	Other materials
	Quiz	Lecture 8 quiz (15 mins)	Opens April 6 Closes April 11, at 12:30 (before the class)
			-
	Notebook	Notebook 8

Week 9

		Topic	Date	Slides	Description
	Video lecture	Video 9	Week of May 2nd, 2054	Lecture 9 video	TEXT PREPROCESSING AND REPRESENTATION TEXT CLASSIFICATION, SENTIMENT ANALYSIS, TOPIC MODELING WORD EMBEDDINGS
	In-Class Lecture	Lecture 9 class

		Access	Deadline	Other materials
	Quiz	Lecture 9 quiz (15 mins)	Opens  Apr 27th  Closes May 2nd, 12"30 before class
	Notebook	Notebook 9

Week 10

		Topic	Date	Slides	Description
	Video lecture	Video10	Week of May 9th, 2025	Lecture 10 video	LARGE LANGUAGE MODELS: THE BASICS
	Lecture class	Lecture 10 class	-

		Access	Deadline	Other materials
	Quiz	Lecture 10 quiz (15 mins)	Opens Monday, May 5th 12:30 Closes May 9th, 12:30, before class
	Notebook	Notebook 10

Week 11

Intro to Large Language Models

		Topic	Date		Description
	Video lecture	No video lecture
	Class lecture	Lecture 11 class			USING LLMs ADDRESSING COMMON ISSUES

		Access	Deadline
	Video submission	Submit your 5 minute video here as "Group <group number> - <dataset name>" (e.g., Group 1 - House Price).	12th May 12h30
	Notebook	Notebook 11

Week 12

		Access	Deadline	Other materials
	Video vote	Vote for the best group project  video (cannot vote on your group!)	16th May, 12h30