Wedstrijd
Competition
Bronnen
Resources
We raden aan om te beginnen met de conceptuele uitwerking en de implementatie.
We recommend starting with the intuition and implementation.
Begin hier
Start here
- Intro to Machine Learning in Kaggle Learn Intro to Machine Learning in Kaggle Learn
- Every Machine Learning Model Explained in 15 minutes Every Machine Learning Model Explained in 15 minutes
- A Gentle Introduction into Machine Learning door StatQuest A Gentle Introduction into Machine Learning by StatQuest
- But What is a neural network? door 3Blue1Brown But What is a neural network? by 3Blue1Brown
Machine Learning in Python
Machine Learning in Python
Als je meer wilt weten over de theorie achter de populairste methoden van machine learning en AI, zijn dit uitstekende startpunten.
If you would like to know more about the theory behind the most popular Machine Learning/AI methods, these are great starting points.
Verdiepende Wiskunde
Further Mathematics
- Essence of Calculus door 3Blue1Brown Essence of Calculus by 3Blue1Brown
- Essence of Linear Algebra door 3Blue1Brown Essence of Linear Algebra by 3Blue1Brown
- Probability Top 10 Must Knows Probability Top 10 Must Knows
Theorie van Machine Learning
Machine Learning Theory
- IAIO Training door Eljakim Schrijvers. IAIO Training by Eljakim Schrijvers. Begin bij hoofdstukken 1-6 Start from chapters 1-6
- Stanford Machine Learning Course Stanford Machine Learning Course
Aanvullende bronnen wordt toegevoegd in het gedeelte “Tips” bij elke opgave van NIO/AI.
Additional resources will be attached in the "Tips" section of each problem of NIO/AI.