Deep Learning for Time Series Cookbook
eBook Details: Paperback: 274 pages Publisher: WOW! eBook (March 29, 2024) Language: English ISBN-10: 1805129236 ISBN-13: 978-1805129233 eBook Description: Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection. Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level by mastering PyTorch using different Python recipes. Most organizations exhibit a time-dependent structure in their processes, including fields such as finance. By leveraging time series analysis and forecasting, these organizations can make informed decisions and optimize their performance. Accurate forecasts help reduce...