TDWI

Hands-On: Introduction to Machine Learning with Python

Led by machine learning expert Dave Langer, you will learn everything you need to get started and advance your skills – from basic techniques like classification and regression to advanced techniques ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
VentureBeat

IBM Granite 3.2 uses conditional reasoning, time series forecasting and document vision to tackle challenging enterprise use cases

In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...
Retail TouchPoints

Predictix Launches Machine Learning Based Forecasting

Predictix announced the latest generation of its cloud-based forecasting applications at this year’s NRF BIG Show. The new version adds advanced machine learning to the company’s suite of predictive ...
Forbes

How To Improve Demand Forecasting With Machine Learning And Real-Time Data

The Covid-19 pandemic has proved that history no longer repeats itself when it comes to understanding consumer behavior. Demand forecasting systems have been ill-equipped to address disruptions to our ...
pv magazine International

New machine learning tech for short-term PV power generation forecasting

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...
Booth School of Business

Paper Recurrent Neural Networks for Nonlinear Time Series

This study bridges classical time-series econometrics with modern machine learning by establishing theoretical performance guarantees for recurrent neural networks (RNNs) applied to complex ...
Supply Chain

Supply Chain Forecasting: The Machine Learning Revolution

Picture a single forecasting mistake triggering a cascade of negative consequences, such as surplus inventory, strained supplier relationships and disappointed customers. In today's world, accurate ...
InfoWorld

Time series forecasting with ARMA and InfluxDB

Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB. An ARMA or autoregressive moving average model is a forecasting ...