Machine Learning
search
Ctrlk
  • Introduction
  • Self LEarning
  • Why Statstics in ML Or Data Science
  • How important is interpretability for a model in Machine Learning?
  • What are the most important machine learning techniques to master at this time?
  • Learningchevron-right
  • Steps in machine learning model development and deployment
  • Statistical fundamentals and terminology
  • Statisticschevron-right
  • Spark MLibchevron-right
  • Terminology
  • Machine Learning Stepschevron-right
  • Preprocessing and Feature selection techniues
  • The importance of variables feature selection/attribute selectionchevron-right
  • Feature engineering
  • Hyperplanes
  • cross-validation
  • Machine learning losses
  • When to stop tuning machine learning models
  • Train, validation, and test data
  • input data structure
  • Why are matrices/vectors used in machine learning/data analysis?chevron-right
  • OverView
  • Data scaling and normalization
  • Questions
  • Which machine learning algorithm should I use?
gitbookPowered by GitBook
block-quoteOn this pagechevron-down

How important is interpretability for a model in Machine Learning?

https://www.quora.com/How-important-is-interpretability-for-a-model-in-Machine-Learningarrow-up-right

PreviousWhy Statstics in ML Or Data Sciencechevron-leftNextWhat are the most important machine learning techniques to master at this time?chevron-right

Last updated 6 years ago

Was this helpful?

Was this helpful?