Cerqueira, Vitor
Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
- ISBN 13:
- 9781805129233
- author:
- Cerqueira, Vitor
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2024
- Pages:
- 274
- Dimensions:
- 23.5 x 19.1 x 1.5 centimetres (0
- Genre:
- Computers, Machine Theory, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Deep Learning for Time Series Cookbook: Mastering PyTorch and Python for Forecasting, Classification, and Anomaly Detection. Learn to tackle time series data with deep learning techniques using PyTorch and Python. This comprehensive cookbook covers the fundamentals of time series analysis and shows you how to model time series data using deep learning. You'll explore advanced deep neural networks and gain expertise in forecasting future trends, classifying patterns, and detecting anomalies. With this book, you'll build production-ready prediction solutions using PyTorch, a popular deep learning framework based on Python. The included free PDF eBook provides additional resources to help you get the most out of your time series analysis and deep learning skills.
Related Products
Related Products
Modern Time Series Forecasting with Python: Explore industry-ready time series forecasting using modern machine learning and deep learning
Joseph, Manu
Machine Learning for Time Series Forecasting with Python
Lazzeri, Francesca
Time Series Forecasting in Python
Peixeiro, Marco
Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
Auffarth, Ben
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Raschka, Sebastian