Foundation Models Are Here: How Will They Impact Traditional Machine Learning?
Just a year ago, ChatGPT was launched, and it has since catalyzed a seismic shift in the AI landscape. Given the astonishing capabilities of generative AI…
11 tutorials
Just a year ago, ChatGPT was launched, and it has since catalyzed a seismic shift in the AI landscape. Given the astonishing capabilities of generative AI…
Build a leakage-safe, reproducible machine-failure classifier and evaluate rare-event performance with appropriate baselines and metrics.
In this tutorial, we will use Python and the scikit-learn library to apply hierarchical clustering to a dataset of customer data.
Machine learning is transforming the insurance industry by providing new and powerful ways to analyze and manage risk.
Learn how to use Random Search to tune the model hyperparameters of a Random Forest with Python that predicts house sale prices.
Build and evaluate a reproducible multiclass model for historical San Francisco incident categories, including responsible-use limitations.
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
A compact, reproducible sentiment-analysis example using synthetic text data, TF-IDF features, and a comparison of Naive Bayes and Logistic Regression.
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.
This tutorial shows how to build a direct five-trading-session forecast using a Keras recurrent neural network and Python.
Want to learn about flight delay prediction? This tutorial develops a classifier in Azure Machine Learning that predicts flight delays.