Titlebook: Machine Learning Using R; Karthik Ramasubramanian,Abhishek Singh Book 20171st edition Karthik Ramasubramanian and Abhishek Singh 2017 Mach

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Feature Engineering,ature engineering is a new term coined recently to give due importance to the domain knowledge required to select sets of features for machine learning algorithms. It is one of the reasons that most of the machine learning professionals call it an informal process. In this chapter, we will provide a

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Model Performance Improvement,lso play the role of thresholds to decide whether the model can be put into actual decision making systems or needs improvements. In the previous chapter, we discussed some performance metrics for our continuous and discrete cases. In this chapter, we will discuss how changing the modeling process c

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Scalable Machine Learning and Related Technologies,cture, data, and real-world application. Machine learning was being much talked about in the research community of academia or in well-funded industry research labs. A prototype of any real-world application using machine learning was considered a big feat and a demonstration of breakthrough researc

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Karthik Ramasubramanian,Abhishek Singhibt Josef M. Fersch. Er entwirft ein neues Modell zur Mitarbeiterbeurteilung und -entwicklung und beschreibt anhand zahlreicher Firmenbeispiele dessen praktische Umsetzung. Au?erdem stellt er das 360°-Feedbacksystem ausführlich und anwendungsorientiert dar..."Erfolgreiche Unternehmen ben?tigen als w

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Karthik Ramasubramanian,Abhishek Singhordern Objektivit?t und setzen Werte/Ma?st?be voraus. Wie sich beides effektiv verbinden l?sst, beschreibt Josef M. Fersch. Er entwirft ein neues Modell zur Mitarbeiterbeurteilung und -entwicklung und beschreibt anhand zahlreicher Firmenbeispiele dessen praktische Umsetzung. Au?erdem stellt er das 3

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