| 000 -LEADER |
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| fixed length control field |
nam a22 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230901b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783031046476 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.31 |
| Item number |
UNP |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Unpingco, Jose |
| 245 ## - TITLE STATEMENT |
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| Title |
Python for probability, statistics, and machine learning |
| 250 ## - EDITION STATEMENT |
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| Edition statement |
3rd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Springer, |
| Date of publication, distribution, etc |
2022 |
| Place of publication, distribution, etc |
Cham : |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 509 p. ; |
| Other physical details |
ill., (some col.), |
| Dimensions |
25 cm. |
| 365 ## - TRADE PRICE |
|---|
| Price amount |
84.99 |
| Price type code |
EUR |
| Unit of pricing |
94.90 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Using a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Statistics Data processing |
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| Topical term or geographic name as entry element |
Data mining |
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| Topical term or geographic name as entry element |
Discrete mathematics |
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| Topical term or geographic name as entry element |
Telecommunications |
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| Topical term or geographic name as entry element |
Bernstein von-Mises theorem |
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| Topical term or geographic name as entry element |
Central limit theorem |
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| Topical term or geographic name as entry element |
Delta Method |
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| Topical term or geographic name as entry element |
Fisher Ecact Test |
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| Topical term or geographic name as entry element |
Generalized Linear Models |
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| Topical term or geographic name as entry element |
Hazard functions |
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| Topical term or geographic name as entry element |
Inverse CDF Method |
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| Topical term or geographic name as entry element |
Jupyter notebook |
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| Topical term or geographic name as entry element |
Kernel trick |
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| Topical term or geographic name as entry element |
Logilinear models |
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| Topical term or geographic name as entry element |
Mann-Whitney -Wilcoxen Test |
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| Topical term or geographic name as entry element |
Neyman-Pearson test |
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| Topical term or geographic name as entry element |
Plug-in principle |
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| Topical term or geographic name as entry element |
Rejection Method |
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| Topical term or geographic name as entry element |
Uniqueness theorem |
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| Topical term or geographic name as entry element |
Wald Test |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Item type |
Books |