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OverviewThis course provides a detailed executive-level review of contemporary topics in supervised machine learning theory with specific focus on predictive modeling and linear regression. The ideal student is a technology professional with a basic working knowledge of machine learning theory. Additionally, to better inform the interested student, the final lesson of this course presents samples in Python describing the essential implementation of described regression methods. To reduce space and improve clarity, this code targets a basic Keras environment - this inclusion is not meant as an endorsement of one system over another (all provide benefits); instead, at the time of this writing, Keras simply offers a popular, facile 'frontend' for managing TensorFlow or Microsoft Cognitive Toolkit deep learning systems, all using this popular script. Full Product DetailsAuthor: Stephen Donald HuffPublisher: Independently Published Imprint: Independently Published Volume: 2 Dimensions: Width: 15.20cm , Height: 0.90cm , Length: 22.90cm Weight: 0.240kg ISBN: 9781729266526ISBN 10: 1729266525 Pages: 158 Publication Date: 25 October 2018 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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