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This is the code repository for Deep Learning For Time Series Cookbook, published by Packt. Use PyTorch and Python recipes for forecasting, classification, and ...
Deep Learning for Time Series Cookbook: Use PyTorch and Python Recipes for Forecasting, Classification, and Anomaly Detection
Book by Luís Roque
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 recipesKey FeaturesLearn the fundamentals ... Google Books
Originally published: March 29, 2024
Authors: Vitor Cerqueira and Luís Roque
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Book overview · 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 ...
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This book guides you through applying deep learning to time series data with the help of easy-to-follow code recipes. You'll cover time series problems, such as ...
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May 3, 2024 · I also binge watched a time series playlist by ritvikmath on YouTube. He has GitHub repos you can reference too. https://learning.oreilly.com/ ...
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Learn how to apply the principles of machine learning to time series modeling with this indispensable resource. Machine Learning for Time Series Forecasting ...
Explore forecasting and anomaly detection techniques using statistical, machine learning, and deep learning algorithms; Learn different techniques for ...
Jun 2, 2015 · Cookbook is a great book if you're looking for some basic, hands-on introduction to the 'standard library' (Doug Hellman's Python Module of ...
Mar 29, 2024 · ISBN: 9781805129233. Learn how to deal with time series data and how to model it using deep learning and take your skills to the next level ...
Discover the 7 best books about time series analysis to expand your understanding of the topic - from introductions to references and guides.
Mar 29, 2024 · 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 ...