The main advantages of KNNR are simplicity and interpretability, says Dr. James McCaffrey of Microsoft Research in presenting this full-code, step-by-step tutorial.
- By James McCaffrey
- 09/05/2023
KRR is especially useful when there is limited training data, says Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step tutorial.
- By James McCaffrey
- 08/15/2023
Implementing LRR from scratch is harder than using a library like scikit-learn, but it helps you customize your code, makes it easier to integrate with other systems, and gives you a complete understanding of how LRR works.
- By James McCaffrey
- 08/01/2023
Dr. James McCaffrey of Microsoft Research offers a full-code, step-by-step tutorial for this technique, especially useful when there is limited training data.
- By James McCaffrey
- 07/18/2023
Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this regression technique, which is especially useful when there is limited training data.
- By James McCaffrey
- 07/06/2023
Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial.
- By James McCaffrey
- 06/15/2023
Dr. James McCaffrey of Microsoft Research says the main advantage of using Gaussian naive Bayes classification compared to other techniques like decision trees or neural networks is that you don't have to fine tune model parameters.
- By James McCaffrey
- 05/31/2023
Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to predict the species of a wheat seed based on seven predictor variables such as seed length, width and perimeter.
- By James McCaffrey
- 05/15/2023
Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their sex, age, state where they live and political leaning.
- By James McCaffrey
- 05/02/2023
A full-code demo from Dr. James McCaffrey of Microsoft Research shows how to predict the type of a college course by analyzing grade counts for each type of course.
- By James McCaffrey
- 04/17/2023
Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique.
- By James McCaffrey
- 04/03/2023
Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of Microsoft Research, who provides step-by-step instructions and full source code.
- By James McCaffrey
- 03/17/2023
Dr. James McCaffrey of Microsoft Research shows how to predict a person's sex based on their job type, eye color and country of residence.
- By James McCaffrey
- 03/01/2023
Dr. James McCaffrey of Microsoft Research says decision trees are useful for relatively small datasets and when the trained model must be easily interpretable, but often don't work well with large data sets and can be susceptible to model overfitting.
- By James McCaffrey
- 02/21/2023
Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters).
- By James McCaffrey
- 02/01/2023