Python Data Analysis Mining (91 results)

Hardback. Condition: Good. As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers.Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) 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, evaluate the methods, and adapt them to their own fields of interest.Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from contemporary astronomical surveysUses a freely available Python codebase throughoutIdeal for students and working astronomers.…

hardcover. Condition: Very Good. Interior is clean and unmarked. Decent amount of wear and scuffing on the covers. A few stray ink stains on outward facing page edges. Hardcover. LW.

hardcover. Condition: Very Good. Interior is clean and unmarked. Some wear and scuffing on exterior, including some bending in the bottom right of the front cover. A few ink stains on outward-facing page edges. Hardcover. LW.

Hardback. Condition: Good. As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers.Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) 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, evaluate the methods, and adapt them to their own fields of interest.Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from contemporary astronomical surveysUses a freely available Python codebase throughoutIdeal for students and working astronomers.…

hardcover. Condition: Very Good. A nice copy. Cover has minor shelf rubbings. Binding is tight. Your Satisfaction Guaranteed. We ship daily. Expedited shipping available.

Condition: acceptable.

paperback. Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback or Softback. Condition: New. Python Data Science: Learn Python in a Week and Master It. An Hands-On Introduction to Big Data Analysis and Mining, a Project-Based Guide. Book.

Paperback. Condition: Fine.

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

paperback. Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

Condition: New.

Condition: New.

Condition: New.

Paperback. Condition: Brand New. 202 pages. 9.02x5.98x0.43 inches. In Stock.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

hardcover. Condition: As New.

Condition: New.

Condition: New.

Condition: New.

Condition: New.

Condition: New. 2019. Revised edition. Hardcover. . . . . .

paperback. Condition: New. Paperback. Pub Date: 2024-05 Pages: 344 Publisher: Economic Management Press Python Big Data Analysis and Mining is a textbook with big data acquisition and analysis as the core. It is divided into 4 parts and 11 chapters. which guides readers to learn Python's application in the field of big data step by step. The first part is Python Basics. which comprehensively introduces the basic characteristics and programming basics of the Python language. The second part is Python Data Analysis Basic.…