Data engineering - Samenvattingen en Aantekeningen

A summary of the lectures in the course of 1BM110 - Data Driven Artificial Intelligence for the master track Innovation Management in Industrial Engineering / Technische Bedrijfskunde given at the Eindhoven University of Technology.

Dit document bevat alle mogelijke examenvragen voor het vak "Data Engineering". De antwoorden zijn samengesteld op basis van informatie uit de hoorcolleges, PowerPoint-presentaties en extra informatie ter verduidelijking. Het document bevat over 100 pagina's en beantwoord elke vraag in detail. Je kan gewoon dit document leren voor het examen. Ik behaalde zelf een score van 17/20.

List of important terms from all the chapters and exercise sessions of 'Fundamentals of Data Science'.

Full summary of Python for Machine Learning / Machine Learning for Business within Business Economics / Business Engineering major Data Science and AI (UANTWERPEN)

The best summary of ALL LECTURES for Data Engineering for MADS (EBM213A05). Enhanced with a dynamic table of contents and meticulous organization for readability and easy studying. 100% of profit from this summary is donated to local Groningen NGOs, as well as national ones.

The best summary of ALL READINGS for Data Engineering for MADS (EBM213A05). Includes both mandatory and optional papers and book chapters. Enhanced with a dynamic table of contents and meticulous organization for readability and easy studying. 100% of profit from this summary is donated to local Groningen NGOs, as well as national ones.

This document contains all the lecture notes from the course Topic Algorithm in the Digital Society and all the reading notes. It includes all the names of the articles and their authors the articles are the following: 1. Zarouali, B., Boerman, S.C., Voorveld, H.A.M., & Van Noort, G. (2022). The Algorithmic Persuasion Framework in online communication: Conceptualization and a future research agenda. Internet Research 2. Boerman, S.C., Kruikemeier, S., & Zuiderveen Borgesius F.J., (2017). Onl...

Includes answers for Quiz 1, Quiz 5, Quiz 6 and a Full Practice Exam for Data Engineering for MADS (EBM213A05). Check out the complete summary bundle for the best value.

A summary per chapter for the book "Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data" by Mark Hoogendoorn and Burkhardt Funk.

A collection of questions from the slides, previous exam questions and questions found online for 'Fundamentals of Data Science'. Used as preparation for oral exam.