Algorithms - Samenvattingen en Aantekeningen

Summary based on both lectures and book. Including some exam questions. I got an 8.5 for the exam. This course is about constructing, applying and studying algorithms based on the Darwinian evolution theory. Driven by selection (survival of the fittest, mating of the fittest) and randomised reproduction (mutation, recombination), an evolutionary process is being emulated and solutions for a given problem are being "bred". During this course, various flavours within evolutionary computing are ...

Based on lectures. I got a 9 for the exam! Deep learning becomes the leading learning and modeling paradigm in machine learning. During this course, we will present basic components of deep learning, such as: - different layers (e.g., linear layers, convolutional layers, pooling layers, recurrent layers); - non-linear activation functions (e.g., sigmoid, ReLU); - backpropagation; - learning algorithms (e.g., ADAM); - other (e.g., dropout). Further, we will show how to build deep ar...

This is a summary with the course notes and information from the slides for the course ASA algorithms in sequence analysis of 2023.

Samenvatting van hoorcolleges, powerpoints en werkcolleges van het vak Algorithms and Data Structures (ADS) van de Hogeschool van Amsterdam (HvA), jaar 2. Hierin wordt ingegaan op de belangrijkste theorie van het vak, zoals Java Data Structures, Generics, Recursion, Graphs, Sorting Algorithms, Searching Algorithms, Hashing, Streams en Trees. Er staan ook links naar externe video's op YouTube in het document voor het geval je meer uitleg nodig hebt bij de theorie.

High quality summary covering the entire Geometric Algorithms course. All of the concepts are clearly, yet compactly summarized, and explained in more detail where necessary. Based on the lectures, slides and the associated book.

The summary is organized by week and articles. Very broad summary of the topic. I made the exam in April of 2023 so all the topics are very recent. I had a 8,5

Ontdek de essentie van klassieke computerwetenschappelijke algoritmen met deze uitgebreide samenvatting. Leer de fundamenten van algoritmen zoals sorteren, zoeken en grafentheorie, met duidelijke uitleg en geïllustreerde voorbeelden (samen met cursustekst bekijken). Deze samenvatting biedt een waardevolle gids voor studenten die op zoek zijn naar een dieper begrip van de basisprincipes van computerwetenschappen.

THIS IS A COMPLETE NOTE FROM ALL BOOKS + LECTURE! Save your time for internships, other courses by studying over this note! Are you a 1st/2nd year of Business Analytics Management student at RSM, who want to survive the block 2 Machine Learning module? Are you overwhelmed with 30 pages of reading every week with brand-new terms and formulas? If you are lost in where to start or if you are struggling to keep up due to the other courses, or if you are just willing to learn about Machine Lea...

This summary captures the course data structures and algorithms for AI. Do note that this is the AI version of the course! The Computer Science version (or any other possible version of the course) might be different. It captures all video's used as lectures in the year 2020-2021 (COVID breakout).

THIS IS A COMPLETE NOTE FROM ALL BOOKS + LECTURE! Save your time for internships, other courses by studying over this note! Are you a 1st/2nd year of Business Analytics Management student at RSM, who want to survive the block 2 Machine Learning module? Are you overwhelmed with 30 pages of reading every week with brand-new terms and formulas? If you are lost in where to start or if you are struggling to keep up due to the other courses, or if you are just willing to learn about Machine Lea...