Sponsoredⓘ
Time Series Forecasting Using Deep Learning: Combining Pytorch, RNN, TCN, and Deep Neural Network Models to Provide Production-ready Prediction Solutions
Book by Ivan Gridin
Explore the infinite possibilities offered by Artificial Intelligence and Neural NetworksKey FeaturesCovers numerous concepts, techniques, best practices and troubleshooting tips by community experts.Includes ... Google Books
Originally published: October 15, 2021
Author: Ivan Gridin
Rating
(46) · In stock
This book is written for engineers, data scientists, and stock traders who want to build time series forecasting programs using deep learning. Possessing some ...
This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build prediction ...
Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python by Jason Brownlee (z-lib.org).pdf.
Rating
(50) · $34.99
Machine Learning for Time Series Forecasting with Python is an incisive and straightforward examination of one of the most crucial elements of decision-making ...
In stock
You'll cover time series problems, such as forecasting, anomaly detection, and classification. This deep learning book will also show you how to solve these ...
Apr 10, 2023 · Since I work with time series, I made an extensive research on the topic, using reliable data and sources from both academia and industry. I ...
Oct 15, 2021 · This book is amid at teaching the readers how to apply the deep learning techniques to the time series forecasting challenges and how to build ...
Rating
(5)
In this accessible book, you'll learn statistical and deep learning methods for time series forecasting, fully demonstrated with annotated Python code. Develop ...
scholar.google.com › citations
People also ask
Can we use deep learning for time series forecasting?
Is LSTM good for time series forecasting?
What is the best deep learning model for time series classification?
Is CNN good for time series forecasting?
Maybe you want or need to start using deep learning for time series on your research project or on a project at work. This book was written to help you do that ...
Rating
(3) · In stock
In this Book, different normalization methods are used on time series data before feeding the data into the DNN model and we try to find out the impact of ...
People also search for