Datanest on LinkedIn: Machine Learning Basic Terminology

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We create machine learning key terminology explanation as simple as possible, you can check in pdf below

Sr AI/ML Architect, Data Scientist with NLP and Big Data - Product Developer for Business and Services - AI Game Developer

thanks

Sadegh Lajevardi

Researcher at the University of Minho

Thanks

Muhammad Ichsan

Pray to Allah, Do it, and Tawakal

How to evaluate ML? It depends from confusion matrix (Accuracy, Precision, Recall) or from RMSE (Root Mean Squared Error)?

Raunak Sinha

Consultant at General Mills

Do not see a difference in Testing & Validation data.

1 Reaction

Michael Poulin

Enterprise/Solution Architect: Integration, Governance, Digital Transformation, Services, Security

Ii have doubts about the choice of algorithm. Yes, it should depend on the target result and data types, but a task to be automated is outside of the ML realm. It is about how a user wants to utilise the ML results and this cannot impact the algorithm.