0
Your cart

Your cart is empty

Browse All Departments
  • All Departments
Price
  • R1,000 - R2,500 (1)
  • -
Status
Brand

Showing 1 - 1 of 1 matches in All Departments

Statistics, Data Mining, and Machine Learning in Astronomy - A Practical Python Guide for the Analysis of Survey Data, Updated... Statistics, Data Mining, and Machine Learning in Astronomy - A Practical Python Guide for the Analysis of Survey Data, Updated Edition (Hardcover, Revised edition)
Zeljko Ivezic, Andrew J. Connolly, Jacob T. VanderPlas, Alexander Gray
R1,935 Discovery Miles 19 350 Ships in 12 - 17 working days

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest. An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date. Fully revised and expanded Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from astronomical surveys Uses a freely available Python codebase throughout Ideal for graduate students, advanced undergraduates, and working astronomers

Free Delivery
Pinterest Twitter Facebook Google+
You may like...
Dog's Life Ballistic Nylon Waterproof…
R999 R808 Discovery Miles 8 080
GMC Air Cooler (33…
R4,999 R4,699 Discovery Miles 46 990
Barbie
Margot Robbie, Ryan Gosling Blu-ray disc R256 Discovery Miles 2 560
Rogz Lounge Walled Oval Pet Bed (Navy…
R625 Discovery Miles 6 250
Alva 3-Panel Infrared Radiant Indoor Gas…
R1,499 R1,199 Discovery Miles 11 990
Sellotape Mirror and Mounting Squares
R33 Discovery Miles 330
Maped Black and Whiteboard Magnetic…
R36 R31 Discovery Miles 310
Cadac 47cm Paella Pan
R1,215 Discovery Miles 12 150
Casio LW-200-7AV Watch with 10-Year…
R999 R884 Discovery Miles 8 840
Bostik Glu Tape
R38 Discovery Miles 380

 

Partners