Télécharger le livre :  Beginning Anomaly Detection Using Python-Based Deep Learning

This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning techniques.This updated second edition focuses on supervised, semi-supervised, and unsupervised approaches to anomaly...
Editeur : Apress
Parution : 2024-01-01

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56,19

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Télécharger le livre :  Applied Data Science Using PySpark

Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the...
Editeur : Apress
Parution : 2020-12-17

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56,19

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Télécharger le livre :  Beginning MLOps with MLFlow

Integrate MLOps principles into existing or future projects using MLFlow, operationalize your models, and deploy them in AWS SageMaker, Google Cloud, and Microsoft Azure. ?This book guides you through the process of data analysis, model construction, and training.The...
Editeur : Apress
Parution : 2020-12-07

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62,11

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Télécharger le livre :  Beginning Anomaly Detection Using Python-Based Deep Learning

Utilize this easy-to-follow beginner's guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised...
Editeur : Apress
Parution : 2019-10-10

Format(s) : PDF, ePub
56,19

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