Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right ...

Learn how enterprises evaluate open versus closed AI models to optimize costs, security, and performance across different business use cases.

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

The data analytics software provider has repackaged existing products to help data scientists manage the full AI lifecycle on ...

A bill to amend New Zealand’s Racing Industry Act 2020 and extend TAB’s monopoly has passed third reading, essentially ...

Derive consolidated prices and curves in real time as source data comes in. Data can be derived flexibly through different ...

By harnessing data mesh architectures for product analytics, organisations unlock several long‑term advantages such as resilient, scalable pipelines that grow with new products, empowered teams that ...

You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of ...

LinearForestRegressor and LinearForestClassifier use the RandomForest from sklearn to model residuals. LinearBoostRegressor and LinearBoostClassifier are available also as TransformerMixin in order to ...

A toolkit for incorporating multimodal data on top of text data for classification and regression tasks. It uses HuggingFace transformers as the base model for text features. The toolkit adds a ...