Oswald Campesato

Data Science Fundamentals Pocket Primer

• Broschiertes Buch

Produktbeschreibung

No detailed description available for "Data Science Fundamentals Pocket Primer".

Produktdetails

• Pocket Primer
• Verlag: De Gruyter
• Seitenzahl: 428
• Erscheinungstermin: 25. Mai 2021
• Englisch
• Abmessung: 229mm x 152mm x 25mm
• Gewicht: 647g
• ISBN-13: 9781683927334
• ISBN-10: 1683927338
• Artikelnr.: 62068842

Autorenporträt

Campesato Oswald: Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

Inhaltsangabe

1: Working with Data
2: Introduction to Probability and Statistics
3: Linear Algebra Concepts
4: Introduction to Python
5: Introduction to NumPy
6: Introduction to Pandas
7: Introduction to R
8: Regular Expressions
9: SQL and NoSQL
10: Data Visualization
Index