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CASE STUDY VIDEOS
HOME      |    IB    |      CASE STUDY 2023

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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
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CASE STUDY RELATED VIDEOS | THIS PAGE
MAY I RECOMMEND 2023
MACHINE LEARNING
CASE STUDY KEY TERMINOLOGY
​CASE STUDY SAMPLE QUESTIONS
​CASE STUDY SAMPLE ANSWERS
CASE STUDY USEFUL LINKS
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