MARC details
000 -LEADER |
fixed length control field |
01745cam a22002537i 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
160709s2013 caua 001 0 eng d |
015 ## - NATIONAL BIBLIOGRAPHY NUMBER |
National bibliography number |
GBB397007 |
Source |
bnb |
016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER |
Record control number |
016525585 |
Source |
Uk |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781449370787 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1449370780 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9789391043445 |
042 ## - AUTHENTICATION CODE |
Authentication code |
lccopycat |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
005.74015 |
Cutter |
DOW |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Downey, Allen, |
245 10 - TITLE STATEMENT |
Title |
Think Bayes: |
Remainder of title |
Bayesian Statistics in Python |
250 ## - EDITION STATEMENT |
Edition statement |
Second edition. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Mumbai |
Name of publisher, distributor, etc |
Shroff Publishers & Distributors Pvt. Ltd. |
Date of publication, distribution, etc |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xv, 190 pages : |
520 ## - Remark |
Summary, etc |
If you know how to program, you're ready to tackle Bayesian statistics. With this book, you'll learn how to solve statistical problems with Python code instead of mathematical formulas, using discrete probability distributions rather than continuous mathematics. Once you get the math out of the way, the Bayesian fundamentals will become clearer and you'll begin to apply these techniques to real-world problems.<br/><br/>Bayesian statistical methods are becoming more common and more important, but there aren't many resources available to help beginners. Based on undergraduate classes taught by author Allen B. Downey, this book's computational approach helps you get a solid start.<br/><br/>Use your programming skills to learn and understand Bayesian statistics<br/>Work with problems involving estimation, prediction, decision analysis, evidence, and Bayesian hypothesis testing<br/>Get started with simple examples, using coins, dice, and a bowl of cookies<br/>Learn computational methods for solving real-world problems |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Bayesian statistical decision theory |
General subdivision |
Data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Python (Computer program language) |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
a |
Business Analytics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Item type |
Book |