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104729386
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
89% of respondents would recommend this to a friend
Item #:
104729386
MYR 381
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This practical, hands-on guide empowers you to build and deploy powerful time series forecasting models.
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What Stands Out
Comprehensive Coverage
This book offers an in-depth exploration of time series forecasting techniques, integrating both machine learning and deep learning approaches using PyTorch and pandas, catering to industry needs.
Hands-On Approach
Readers engage in practical, hands-on projects to solidify concepts, ensuring skills are directly applicable in real-world scenarios, making it invaluable for professionals looking to enhance their forecasting prowess.
Future-Proof Skills
By focusing on modern tools and methodologies in time series analysis, the book equips readers with relevant skills necessary for evolving industry demands, thereby enhancing their career prospects in data science.
Maklumat produk
| Publisher | Packt Publishing |
| Publication date | 31 Oct. 2024 |
| Edition | 2nd |
| Language | English |
| Print length | 658 pages |
| ISBN-10 | 1835883184 |
| ISBN-13 | 978-1835883181 |
| Item weight | 1.12 kg |
| Dimensions | 19.05 x 3.78 x 23.5 cm |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to enhance their skills in time series analysis with advanced machine learning techniques.
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Machine Learning Engineers
Perfect for professionals seeking to apply deep learning methodologies to time series forecasting projects in various industries.
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Students and Learners
Beneficial for students studying data science who want practical knowledge of time series analysis using Python, PyTorch, and pandas.
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Beginners
Not suitable for complete beginners, as prior knowledge of Python and basic statistics is typically needed to grasp concepts.
PENERANGAN PRODUK
Modern Time Series Forecasting with Python: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
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Higher Education Editorial Review
Modern Time Series Forecasting With Python Industry-ready Machine Learning And Deep Learning Time Series Analysis With PyTorch And Pandas is an essential resource for anyone looking to dive into time series analysis. With 658 pages of comprehensive content published by Packt Publishing, this 2nd edition provides in-depth knowledge suitable for both beginners and experienced practitioners. The inclusion of PyTorch and Pandas enhances the application of machine learning and deep learning techniques in real-world scenarios, enabling users to effectively handle time series data. This guide is not only informative but also structured to facilitate learning through practical examples and thorough explanations.
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Comprehensive coverage of time series analysis techniques
- Suitable for both beginners and experienced users
- Hands-on examples with PyTorch and Pandas
- Extensive print length for detailed exploration
- Latest edition includes updated methodologies
Keburukan
- A bit heavy for casual reading
Product Price History
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MYR 381
Pesan sekarang dan dapatkannya lebih kurang pada Rabu, September 23
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Ciri & Faedah
- Learn traditional and advanced techniques for time series forecasting.
- Hands-on practical examples to improve forecasting accuracy.
- Includes free eBook with print or Kindle purchase.
- Covers deep learning models including RNNs and transformers.
- Ideal for professionals and students in various industries.
- New edition features enhancements in transformer architectures and probabilistic forecasting.
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