Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

Introduction A few years ago, I took over a demand forecasting model from a colleague who had left the company. The notebook ...

This collection supports and amplifies research related to SDG 9 - Industry, innovation and infrastructure. Quantum Machine Learning is currently listed as one of the most promising candidates for ...

The Graduate Certificate in Applied AI & Machine Learning at Boston University’s Metropolitan College (MET) provides intensive exploration of the theory and practice of neural nets, generative AI, ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Organizations of all sizes use different types of AI to facilitate key functions. Distinguishing among AI technologies and understanding their architectures is essential to choosing AI to fit use ...

The key takeaway, the authors say, is that adding flexibility or complexity to models doesn't always lead to better performance. The authors used a machine learning technique called autoencoding to ...

Available online and on campus, the Master of Science in Applied Data Analytics concentration in AI & Machine Learning at Boston University’s Metropolitan College (MET) provides intensive exploration ...