Chapter 13: Deep Learning for Time Series Forecasting

If you have been searching the web for topics on data science, artificial intelligence, or machine learning, it is hard to escape headlines on deep learning. Deep learning is a subset of machine learning and excels when dealing with large and complex data, as it can extract complex features with minimal human involvement. Deep learning works well with structured and unstructured data and can be used in supervised, unsupervised, and semi-supervised learning. Several innovations have contributed to its wide adoption, such as the transfer learning technique allowing data scientists to leverage existing pre-trained models, saving a significant development and training time. Transfer learning, the ability to extend a pre-trained model, helped accelerate the adoption of deep learning, which is known to require massive amounts of data, specialized hardware, and longer times to train.

This chapter focuses on using deep learning for time...