Applied AI for entrepreneurs
38113 Week 1 Apply LLM abilities to scale R&D
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Weekly breakdowns from my DTU Computer Science & Engineering master's, organised by semester and course.
Always iterating · Learning in public
Semester 1
Autumn 2025Computationally Hard Problems
02450 Week 1 Motivation, Definitions and Notation
Motivation for this Course We can either have efficient algorithms or non efficient algorithms before the 70's there wasn't a way to solve these non efficient algorithms. And simply if a problem was too hard it would not be solvable. But n…
View full notes Week 2 Clique and Algorithms
What Is an Algorithm? Definition: An algorithm is an unambiguous, abstract description of a method for solving a problem. - Unambiguous: Everyone following the steps obtains the same result. - Abstract: Independent of machine or programmin…
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02242 Week 1 Introduction
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View full notesMachine Learning
02452 Week 1 Introduction
Supervised Learning In supervised learning, we predict quantities based on other quantities. There are two types of supervised learning tasks, and it's important to know the difference between those two. Classification Classification tasks…
View full notes Week 2 Summary statistics, similarity, nearest neighbors and decision trees
Attribute statistics When we are working with variables it is good to be able to use basic statistic measures. Such as mean and variance. Suppose that we record a number of observations $\{x1,...,xN\}$, for instance corresponding to the we…
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