Machine Learning Articles

Learn how to manage the features for your machine learning models, to save you time and improve the consistency of your models.

Join Filip Schouwenaars, VP of Engineering at DataCamp Workspace to see a real-time example of how AI can enable faster time to insight on data analysis tasks.

Rewatch this training to discover what synthetic data is, how it protects privacy, and how it's being used to accelerate AI adoption in banking, healthcare, and many other industries.

In the live training, you'll use LangChain to build a simple AI application, including preparing and indexing data, prompting the AI, and generating responses.

In this session, using DataCamp Workspace we'll learn all about loading custom datasets into PyTorch and using transfer learning to perform an image processing task using a mostly-pretrained model, which we'll fine-tune.

In this live training, you'll learn about state-of-the-art diffusion models and how to generate photorealistic images using Python.

Learn how to manually engineer features, build and assess a machine learning workflow.

Get an introduction to the OpenAI API and the GPT-3 model.

Learn about the importance of model interpretation.

Learn how to build a machine learning model predicting sentiment.

Learn the fundamentals of supervised learning by using scikit-learn.

Learn to build a machine learning model that predicts hotel cancellations