Data Analysis with Open Source Tools by Philipp K. Janert
Author:Philipp K. Janert
Language: eng
Format: epub, pdf
Tags: COMPUTERS / Mathematical & Statistical Software
ISBN: 9781449394882
Publisher: O’Reilly Media
Published: 2010-11-10T16:00:00+00:00
Use specialized methods if available and applicable. Time series, for instance, should be treated with the techniques discussed in Chapter 4.
You may have noticed that none of these suggestions involve least squares!
Further Reading
Every introductory statistics book covers the standard deviation and least squares (see the book recommendations in Chapter 10). For the alternatives to least squares, consult a book on numerical analysis, such as the one listed here.
Numerical Methods That (Usually) Work. Forman S. Acton. 2nd ed., Mathematical Association of America. 1997.
Although originally published in 1970, this book does not feel the least bit dated—it is still one of the best introductions to the art of numerical analysis. Neither a cookbook nor a theoretical treatise, it stresses practicality and understanding first and foremost. It includes an inimitable chapter on “What Not to Compute.”
Download
Data Analysis with Open Source Tools by Philipp K. Janert.pdf
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
| Access | Data Mining |
| Data Modeling & Design | Data Processing |
| Data Warehousing | MySQL |
| Oracle | Other Databases |
| Relational Databases | SQL |
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(7879)
Learning SQL by Alan Beaulieu(5445)
Weapons of Math Destruction by Cathy O'Neil(5068)
Big Data Analysis with Python by Ivan Marin(3164)
Blockchain Basics by Daniel Drescher(2906)
Building Statistical Models in Python by Huy Hoang Nguyen & Paul N Adams & Stuart J Miller(2788)
Azure Data and AI Architect Handbook by Olivier Mertens & Breght Van Baelen(2752)
Serverless Machine Learning with Amazon Redshift ML by Debu Panda & Phil Bates & Bhanu Pittampally & Sumeet Joshi(2678)
Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen(2566)
Pandas Cookbook by Theodore Petrou(2516)
Mastering Python for Finance by Unknown(2502)
Data Wrangling on AWS by Navnit Shukla | Sankar M | Sam Palani(2460)
Driving Data Quality with Data Contracts by Andrew Jones(2336)
How The Mind Works by Steven Pinker(2239)
Data Engineering with dbt by Roberto Zagni(2235)
Machine Learning Model Serving Patterns and Best Practices by Md Johirul Islam(2124)
Building Machine Learning Systems with Python by Richert Willi Coelho Luis Pedro(2066)
Network Science with Python and NetworkX Quick Start Guide by Edward L. Platt(2035)
Learn T-SQL Querying by Pam Lahoud & Pedro Lopes(1950)
