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Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods - Softcover
Synopsis
Become proficient in deriving insights from time-series data and analyzing a model’s performance
Key Features
- Explore popular and modern machine learning methods including the latest online and deep learning algorithms
- Learn to increase the accuracy of your predictions by matching the right model with the right problem
- Master time-series via real-world case studies on operations management, digital marketing, finance, and healthcare
Book Description
Machine learning has emerged as a powerful tool to understand hidden complexities...
About the Author
Ben Auffarth is a full-stack data scientist who has >15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience from one of Europe's top engineering universities, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds of thousands of...
"About this title" may belong to another edition of this title.
- PublisherPackt Publishing
- Publication date2021
- ISBN 10 1801819629
- ISBN 13 9781801819626
- BindingPaperback
- LanguageEnglish
- Number of pages370
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