Dr. James McCaffrey of Microsoft Research explains the machine learning technique, which can be used to predict a person's happiness score from their income and education, for example.
- By James McCaffrey
- 05/19/2022
Dr. James McCaffrey of Microsoft Research presents a full step-by-step example with all code to predict a person's optimism score from their occupation, eye color and country.
- By James McCaffrey
- 05/02/2022
CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification system for the CIFAR-10 dataset.
- By James McCaffrey
- 04/11/2022
CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, convert it from binary to text and save it as a text file that can be used to train a PyTorch neural network classifier.
- By James McCaffrey
- 04/01/2022
This demo from Dr. James McCaffrey of Microsoft Research of creating a prediction system for IMDB data using an LSTM network can be a guide to create a classification system for most types of text data.
- By James McCaffrey
- 03/21/2022
Dr. James McCaffrey of Microsoft Research shows how to get the raw source IMDB data, read the movie reviews into memory, parse and tokenize the reviews, create a vocabulary dictionary and convert the reviews to a numeric form.
- By James McCaffrey
- 03/03/2022
Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.
- By James McCaffrey
- 02/15/2022
Dr. James McCaffrey of Microsoft Research demonstrates how to fetch and prepare MNIST data for image recognition machine learning problems.
- By James McCaffrey
- 02/01/2022
Dr. James McCaffrey of Microsoft Research explains a new idea that slightly modifies standard simulated annealing by borrowing ideas from quantum mechanics.
- By James McCaffrey
- 01/20/2022
A chi-square (also called chi-squared) test is a classical statistics technique that can be used to determine if observed-count data matches expected-count data.
- By James McCaffrey
- 01/03/2022
Dr. James McCaffrey of Microsoft Research uses the Hugging Face library to simplify the implementation of NLP systems using Transformer Architecture (TA) models.
- By James McCaffrey
- 12/07/2021
Dr. James McCaffrey of Microsoft Research shows how to implement simulated annealing for the Traveling Salesman Problem (find the best ordering of a set of discrete items).
- By James McCaffrey
- 12/01/2021
The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review).
- By James McCaffrey
- 11/16/2021
The goal is to create a model that accepts a sequence of words such as "The man ran through the {blank} door" and then predicts most-likely words to fill in the blank.
- By James McCaffrey
- 11/03/2021
The main advantage of using PCA for anomaly detection, compared to alternative techniques such as a neural autoencoder, is simplicity -- assuming you have a function that computes eigenvalues and eigenvectors.
- By James McCaffrey
- 10/21/2021