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Python QuickStart Guide by Robert Oliver ISBN 978-1-63610-035-7 in paperback format. #format_paperback

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Python QuickStart Guide

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Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

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Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection - Paperback

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python Paperback Apress

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Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

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Time Series Analysis with Python Cookbook : Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection (2ND)

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Time Series Analysis with Python Cookbook : Practical recipes for the complete time series workflow, from modern data engineering to advanced forecasting and anomaly detection (2ND)

Barnes & Noble

Modern Time Series Forecasting with Python - Second Edition: Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas

Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and Pytorch

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Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and Pytorch - Paperback

Barnes & Noble

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

Barnes & Noble

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

Barnes & Noble

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python by Feasel, Kevin

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Past Forward

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

Barnes & Noble

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Barnes & Noble

Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch

Time Series Analysis with Python Cookbook - Second Edition: Practical recipes for the complete time series workflow, from modern data engineering to a

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Time Series Analysis with Python Cookbook - Second Edition: Practical recipes for the complete time series workflow, from modern data engineering to a - Paperback

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Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python

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Finding Ghosts in Your Data: Anomaly Detection Techniques with Examples in Python - Paperback

Deep Learning for Time Series Cookbook : Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Books Kinokuniya USA

Deep Learning for Time Series Cookbook : Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

MIT App Inventor for AI and IoT (Book)

Elektor

MIT App Inventor for AI and IoT

Edge AI Made Practical (Book)

Elektor

Edge AI Made Practical

Time Series Analysis with Python Cookbook : Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Books Kinokuniya USA

Time Series Analysis with Python Cookbook : Practical recipes for exploratory data analysis, data preparation, forecasting, and model evaluation

Barnes & Noble

Host-Based Multivariate Statistical Computer Operating Process Anomaly Intrusion Detection System

Terrorism, Security, and Computation

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Late Knight Books and Services, LLC

Terrorism, Security, and Computation

Monremi

SafeView™ - Protect Your Home, Family & Valuables

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AI Engineering: Building Applications with Foundation Models

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Faulty Cat

Barnes & Noble

Advanced Analytics with PySpark: Patterns for Learning from Data at Scale Using Python and Spark

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Marauder v8

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