Algorithms for Data Science

• Κύριοι συγγραφείς: Steele, Brian (Συγγραφέας), Chandler, John (Συγγραφέας), Reddy, Swarna (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Health informatics.; Computer science > Mathematics.; Data mining.; Statistics.; Computer Science.; Data Mining and Knowledge Discovery.; Statistics and Computing/Statistics Programs.; Mathematics of Computing.; Health Informatics.

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But pra...

Πίνακας περιεχομένων:

• Introduction
• Data Mapping and Data Dictionaries
• Scalable Algorithms and Associative Statistics
• Hadoop and MapReduce
• Data Visualization
• Linear Regression Methods
• Healthcare Analytics
• Cluster Analysis
• k-Nearest Neighbor Prediction Functions
• The Multinomial Naive Bayes Prediction Function
• Forecasting
• Real-time Analytics.