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…
By using machine learning and Python, businesses can predict equipment failures before they happen and optimize their maintenance cycles.
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.
This article predicts crime types in San Francisco with the XGboost classifier in Python and displays them on a crime map of SF
This Python tutorial shows how to use Auto-ARIMA for time series forecasting using the example of forecasting beer sales.
This article deals with sentiment analysis and shows how to build a sentiment classifier using logistic regression and naive Bayes in Python.
Learn to use logistic regression to solve two-class prediction problems in Python by classifying online shoppers' purchase intentions.
This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python.
Want to learn about flight delay prediction? This tutorial develops a classifier in Azure Machine Learning that predicts flight delays.