Deep Learning for Time Series Data Cookbook: Building Forecasting Models using PyTorch Paperback – 9 April 2024
UZS 799794
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Unlock the potential of time series data with deep learning expertise using PyTorch and Python.
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Mahsulot tafsilotlari
| Publisher | PacktPublishing-ebooksAccount(9April2024) |
| Language | English |
| Paperback | 304pages |
| ISBN-10 | 1805129236 |
| ISBN-13 | 978-1805129233 |
| Dimensions | 1.32x19.05x23.5cm |
| Item Weight | 1.5 lbs (680 grams) |
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Deep Learning for Time Series Data Cookbook: Building Forecasting Models using PyTorch Paperback – 9 April 2024
Mijozlarning savol-javoblari
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Savol:
What prior knowledge do I need to benefit from this book?
Javob: A basic understanding of Python programming and machine learning is recommended. -
Savol:
Will I learn to use other deep learning frameworks in this book?
Javob: This book focuses specifically on using PyTorch for deep learning in time series tasks. -
Savol:
What types of time series problems will I learn to solve?
Javob: You'll tackle forecasting, classification, and anomaly detection problems using various deep neural network architectures.
Tahririyat Sharhi
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UZS 799794
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Xususiyatlar va Afzalliklar
- Master time series analysis and modeling with deep learning.
- Utilize PyTorch to build advanced deep neural networks.
- Learn practical solutions for forecasting, classification, and anomaly detection.
- Includes free PDF eBook with purchase of print or Kindle version.
- Gain hands-on experience through easy-to-follow code recipes.
- Ideal for machine learning enthusiasts with basic Python knowledge.
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