IB COMPUTER SCIENCE CASE STUDY 2023 - RECOMMENDATION SYSTEMS

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

OTHER USEFUL LINKS FOR THIS CASE STUDY LEARNING

Udemy Course: Building Recommender Systems with Machine Learning and AI
StatQuest : Youtube channel all about stats and machine learning
Cloud Computing: Tutorials Point - Cloud computing tutorial
Recommendation Systems: Overview of Machine Learning and recommendation Systems

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-NEAREST NEIGHBOUR 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

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