Titlebook: Machine Learning Using R; With Time Series and Karthik Ramasubramanian,Abhishek Singh Book 2019Latest edition Karthik Ramasubramanian and A

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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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Deep Learning Using Keras and TensorFlow, stored, and application design had no data-driven thinking. The times have indeed changed, with the abundance of computing and storage resources, where we have the "data first" thinking and increasing volumes of data are now available from every business application. Large enterprises are now built

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David Thomas Johnsonuptvorteil liegt neben der Nichtinvasivität vor allem in der leichten Anwendbarkeit; nachteilig sind die Abhängigkeit von der Patientenlagerung sowie die geringe Sensitivität in der frühen Schwangerschaft und bei adipösen Patientinnen. Im Rahmen unserer Arbeiten an der wehengesteuerten Bolustokolyse

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Heidrun Ellinger-Ziegelbauer,Hans-Juergen Ahrr, we exploit a modeling of this framework via labeled Markov Chains (LMCs) to provide a .: we consider a probabilistic variant of the Hennessy-Milner logic and we define a . on formulae in it measuring their syntactic disparities. Then, we define a . on LMCs in terms of the syntactic distance betwe

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Tamper-Resistant Biometric IDs photo, an arbitrary textual message, and a 2-D color barcode which encodes an RSA signature of the message hash and the compressed representation of the face encompassed by the photo. The signature is created using the private key of the party issuing the ID. ID verification is performed by a simpl

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