IB COMPUTER SCIENCE CASE STUDY 2023 - RECOMMENDATION SYSTEMS

LEARNING IS A JOURNEY
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IB COMPUTER SCIENCE CASE STUDY 2023 : (MACHINE LEARNING)

May I recommend the following? Is the 2023 case study based on Machine Learning principles. Here we will try to add a collection of useful resources on this topic related to the case study. LINK TO CASE STUDY

SHORT RECAP VIDEOS BY COMPUTER SCIENCE CAFE

SHORT |Content Based Filtering

SHORT | Collabirative Based Filtering

SHORT |Cost Function

SHORT | F-Measure

SHORT | Reinforcement Learning

SHORT | Matrix Factorisation - COMING SOON

SHORT | Supervised Learning

SHORT | Unsupervised Learning - COMING SOON

TOP YOUTUBE PICKS FOR THIS CASE STUDY

Machine Learning & Artificial Intelligence: Crash Course Computer Science: By Crash Course

What Is Artificial Intelligence? Crash Course AI: By Crash Course

K-means clustering: By StatQuest

How does Netflix recommend movies? Matrix Factorization: By

How computers represent images and the algorithms they use for object recognition: By Crash Course

About Gradient descent: By 3blue1brown

An in-depth look at the case study and principles within: By Mr Amith

How does AI learn: By TED Ed

A guide on collaborative filtering from a Stanford University lecture

A guide on content Based filtering from a Stanford University lecture

K-Nearest Neighbor explained by StatQuest

Reinforcement Learning for recommendation systems by Minmin Chen from Google: by Association For Computer Machinery

TERMINOLOGY - TAKEN FROM IB CASE STUDY: May I recommend the following?

Behavioural data BEHAVIORAL DATA FROM SNOWPLOW
Cloud delivery models: CLOUND DELIVERY MODELS FROM ALERTLOGIC
Infrastructure as a service (IaaS)
Platform as a service (PaaS)
Software as a service (SaaS)
Cloud deployment models DEPLOYMENT MODELS FROM GEEKS FOR GEEKS
Collaborative filtering COLLABRATIVE FILTERING FROM TOWARDS DATA SCIENCE
Content-based filtering
Cost function COST FUNCTION FROM ANALYTICSVIDHYA
F-measure F-MEASURE FROM DEEP AI
Hyperparameter HYPERPARAMETER FROM TOWARDS DATA SCIENCE
K-nearest neighbour (k-NN) algorithm K CLUSTERING FROM TOWARDS DATA SCIENCE
Matrix factorization MATRIX FACTORIZATION FROM TOWARDS DATA SCIENCE
Mean absolute error (MAE) MEANS ABSOLUTE ERROR FROM MEDIUM
Overfitting OVERFITTING FROM GEEKS FOR GEEKS
Popularity bias POPULAR BIAS FROM DLACM
Precision PRECISION FROM MEDIUM
Recall
Reinforcement learning REINFORCEMENT LEARNING FROM TECH TARGET
Right to anonymity
Right to privacy
Root-mean-square error (RMSE)
Stochastic gradient descent STOCHASTIC GRADIENT DESCENT FROM TOWARDS DATA SCIENCE
Training data TRAINING DATA FROM OBVIOUSLY

IB COMPUTER SCIENCE PAPER 3 EXAMINATION TECHNIQUES