Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

Ginger Grant, Julio Granados, Guillermo Fernandez, Pau Sempere, Javier Torrenteras, Paco Gonzalez, Tamanaco Francísquez

ISBN 10: 150930701X / ISBN 13: 9781509307012

Verlag: Microsoft Press 22/06/2018, 2018

Beschreibung

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Bestandsnummer des Verkäufers 6545-9781509307012

Bibliografische Details

• Titel: Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning
• Verlag: Microsoft Press 22/06/2018
• Erscheinungsjahr: 2018
• Sprache: Englisch
• ISBN-10: 150930701X
• ISBN-13: 9781509307012
• Einband: Paperback
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

Prepare for Microsoft Exam 70-774–and help demonstrate your real-world mastery of performing key data science activities with Azure Machine Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Prepare data for analysis in Azure Machine Learning and export from Azure Machine Learning Develop machine learning models Operationalize and manage Azure Machine Learning Services Use other services for machine learning This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are familiar with Azure data services, machine learning concepts, and common data science processes About the Exam Exam 70-774 focuses on skills and knowledge needed to prepare data for analysis with Azure Machine Learning; find key variables describing your data’s behavior; develop models and identify optimal algorithms; train, validate, deploy, manage, and consume Azure Machine Learning Models; and leverage related services and APIs. About Microsoft Certification Passing this exam as well as Exam 70-773: Analyzing Big Data with Microsoft R earns your MCSA: Machine Learning certifi¿cation, demonstrating your expertise in operationalizing Microsoft Azure machine learning and Big Data with R Server and SQL R Services. See full details at: microsoft.com/learning

Über die Autorin bzw. den Autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.