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More than Moonshine
Sidney Saylor Farr was a woman who knew Appalachia well. Born in Stoney Fork in southeastern Kentucky, she lived much of her life close to the mountains, among people whose roots …
Semi-Supervised and Unsupervised Machine Learning
This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their …
Treinies V. Sunshine Mining Co U.S. Supreme Court Transcript of Record with Supporting Pleadings
The Impossible Machine
Adam Sitze meticulously traces the origins of South Africa’s Truth and Reconciliation Commission back to two well-established instruments of colonial and imperial governance: the …
Mastering Azure Machine Learning
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning servicesKey FeaturesImplement end-to-end …
A Pilgrimage Into Dauphine V2
Artificial Intelligence and Machine Learning in Public Healthcare
It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI …
Moonshine Music and Ghosts
A Journey of Grit, Music, and the SupernaturalStep into the world of Tony-a man whose life reads like a country-rock ballad fused with spine-tingling ghost stories. In Moonshine, …
Machine Learning Algorithms
An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithmsKey FeaturesExplore statistics and complex mathematics for …
Machine Learning: 2 Manuscripts in 1 Book: Machine Learning For Beginners & Machine Learning With Python
A BABY LEARNS TO CRAWL, WALK AND THEN RUN. WE ARE IN THE CRAWLING STAGE WHEN IT COMES TO APPLLYING MACHINE LEARNING.Just about anyone with the slightest bit of interest in modern …
Machine Learning and Deep Learning Modeling and Algorithms with Applications in Medical and Health Care
This book explains medical image processing and analysis using deep learning algorithms to analyze medical data. It focuses on the latest achievements and developments in applying …