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Testas A Building Scalable Deep Learning Pipelines On AWS 2024 - Printable Version

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Testas A Building Scalable Deep Learning Pipelines On AWS 2024 - Farid - 12-22-2024

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Practical Machine Learning with H2O. Powerful, Scalable Techniques for Deep Learning and AI (Cook Darren) (2016) polski
Quote:Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that...s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.If you...re familiar with R or Python, know a bit of statistics, and have some experience manipulating data, author Darren Cook will take you through H2O basics and help you conduct machine-learning experiments on different sample data sets. You...ll explore several modern machine-learning techniques such as deep learning, random forests, unsupervised learning, and ensemble learning.Learn how to import, manipulate, and export data with H2OExplore key machine-learning concepts, such as cross-validation and validation data setsWork with three diverse data sets, including a regression, a multinomial classification, and a binomial classificationUse H2O to analyze each sample data set with four supervised machine-learning algorithmsUnderstand how cluster analysis and other unsupervised machine-learning algorithms work

🌞 Contents of Download:
📌 Testas A Building Scalable Deep Learning Pipelines On AWS 2024.pdf (Cook Darren) (2016) (5.44 MB)

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⭐️ Testas A Building Scalable Deep Learning Pipelines On AWS 2024 ✅ (5.44 MB)
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