Titlebook: Ensemble Learning for AI Developers; Learn Bagging, Stack Alok Kumar,Mayank Jain Book 2020 Alok Kumar and Mayank Jain 2020 Ensemble Learnin

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Mixing Training Data, a beautiful composition. Similarly, a data scientist has multiple ensemble tools at his disposal if he wants to squeeze a world-class performance out of his data and models. In this chapter, the main goal is to learn different ways to mix training data to get ensemble models.

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myriad

Yukun Liu,Yong Yue,Liwei Guos of tetralogy of Fallot, due to tracheobronchial compression resulting from massive dilatation of the main pulmonary artery and its first and second-order branches, and from the abnormal branching of segmental arteries. Symptomatic newborns and infants, in particular, have a poor prognosis because

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Physiciansnsible for the conduct of the research and consists of the principal investigator (PI) and his associates as well as the several physicians in the sponsoring company. Another group of physicians provides the patient’s ordinary health care in a practice mode and usually has little or no knowledge of

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Characterization of PGEs and Other Elements in Road Dusts and Airborne Particles in Houston, Texas industrialized urban environments. Herein, our recently reported analytical method that is optimized for the measurements of Rh, Pd, and Pt alongside numerous representative, transition, and lanthanoid elements is described. We also implemented the newly developed technique for the detailed element

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