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

Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).

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