Data Science Fundamentals for Python and MongoDB

• Κύριος συγγραφέας: Paper, David (Συγγραφέας, 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, 2018.
• Έκδοση: 1st ed. 2018.
• Θέματα: Big data.; Python (Computer program language).; Big Data.; Python.

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visu...

Πίνακας περιεχομένων:

• 1. Introduction
• 2. Monte Carlo Simulation and Density Functions
• 3. Linear Algebra
• 4. Gradient Descent
• 5. Working with Data
• 6. Exploring Data.