Lesson 5: How to solve problems with machine learning models

Train and test a machine learning model to solve a real-world problem.

Ishodi učenja

Describe the stages of the AI project lifecycle
Use a machine learning tool to import data and train a model
Test and examine the accuracy of an ML model

Ključni pojmovi

AI project lifecycle, data cleaning, machine learning model, class, label, training, testing, accuracy, confidence score, confidence threshold

Struktura scenarija poučavanja

Order the stages of the AI project lifecycle
User-focused approach
Stage 1: Defining the problem
Stage 2: Preparing the data
Stage 3: Training the model
Stage 4: Testing the model
Reporting on the accuracy of a model

Pregled scenarija poučavanja

Dozvoliti YouTube sadržaj?

Upotrebljavamo YouTube da bismo vam prikazali videozapise na našoj internetskoj stranici. Tražimo vašu dozvolu prije nego učitamo sadržaj jer YouTube možda upotrebljava kolačiće za pomoć pri praćenju upotrebe i poboljšavanje svojih usluga.

Možda biste htjeli pročitati sljedeće Googleove dokumente prije prihvaćanja: Politika kolačića i Politika privatnosti.