Data Science Fundamentals Pocket Primer

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

Sommario

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

Info autore

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).

Dettagli sul prodotto

• Autori: Oswald Campesato
• Editore: De Gruyter
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 08.06.2021
• EAN: 9781683927334
• ISBN: 978-1-68392-733-4
• Pagine: 428
• Dimensioni: 152 mm x 24 mm x 229 mm
• Peso: 647 g
• Serie: Pocket Primer
• Categoria: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica