Machine Learning Using R With Time Series and Industry-Based Use Cases in R /

• Κύριοι συγγραφείς: Ramasubramanian, Karthik (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Singh, Abhishek (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Έκδοση: 2nd ed. 2019.
• Θέματα: Artificial intelligence.; Open source software.; Computer programming.; Programming languages (Electronic computers).; Artificial Intelligence.; Open Source.; Programming Languages, Compilers, Interpreters.

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avo...