YoVDO

How to Choose Model

Offered By: YouTube

Tags

Machine Learning Courses Signal Processing Courses Model Selection Courses Loss Functions Courses

Course Description

Overview

Learn how to select the most appropriate machine learning model in this comprehensive 30-minute video lecture. Explore key aspects of model selection, including comparing different models, distinguishing between signal and noise, selecting an appropriate loss function, implementing effective data splitting techniques, and understanding model assumptions. Gain valuable insights to enhance your decision-making process when choosing the optimal machine learning model for your specific use case.

Syllabus

How to pick a machine learning model 1: Choosing between models.
How to pick a machine learning model 2: Separating signal from noise.
How to pick a machine learning model 3: Choosing a loss function.
How to pick a machine learning model 4: Splitting the data.
How to pick a machine learning model 5: Navigating assumptions.


Taught by

Brandon Rohrer

Related Courses

Regression Models
Johns Hopkins University via Coursera
FA19: Statistical Modeling and Regression Analysis
Georgia Institute of Technology via edX
Évaluez et améliorez les performances d'un modèle de machine learning
CentraleSupélec via OpenClassrooms
Линейная регрессия
Saint Petersburg State University via Coursera
Обобщенные линейные модели
Saint Petersburg State University via Coursera