Python for probability, statistics, and machine learning:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
[Cham]
Springer International Publishing
[2016]
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| Subjects: | |
| Online Access: | BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBM01 UBY01 Volltext Inhaltsverzeichnis Abstract Buchcover |
| Physical Description: | 1 Online-Ressource (xv, 276 p. 110 illus., 7 illus. in color) |
| ISBN: | 9783319307176 9783319307152 |
| DOI: | 10.1007/978-3-319-30717-6 |
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Record in the Search Index
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| adam_text | PYTHON FOR PROBABILITY, STATISTICS, AND MACHINE LEARNING
/ UNPINGCO, JOSE
: 2016
TABLE OF CONTENTS / INHALTSVERZEICHNIS
GETTING STARTED WITH SCIENTIFIC PYTHON
PROBABILITY
STATISTICS
MACHINE LEARNING
NOTATION
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
PYTHON FOR PROBABILITY, STATISTICS, AND MACHINE LEARNING
/ UNPINGCO, JOSE
: 2016
ABSTRACT / INHALTSTEXT
THIS BOOK COVERS THE KEY IDEAS THAT LINK PROBABILITY, STATISTICS, AND
MACHINE LEARNING ILLUSTRATED USING PYTHON MODULES IN THESE AREAS. THE
ENTIRE TEXT, INCLUDING ALL THE FIGURES AND NUMERICAL RESULTS, IS
REPRODUCIBLE USING THE PYTHON CODES AND THEIR ASSOCIATED JUPYTER/IPYTHON
NOTEBOOKS, WHICH ARE PROVIDED AS SUPPLEMENTARY DOWNLOADS. THE AUTHOR
DEVELOPS KEY INTUITIONS IN MACHINE LEARNING BY WORKING MEANINGFUL
EXAMPLES USING MULTIPLE ANALYTICAL METHODS AND PYTHON CODES, THEREBY
CONNECTING THEORETICAL CONCEPTS TO CONCRETE IMPLEMENTATIONS. MODERN
PYTHON MODULES LIKE PANDAS, SYMPY, AND SCIKIT-LEARN ARE APPLIED TO
SIMULATE AND VISUALIZE IMPORTANT MACHINE LEARNING CONCEPTS LIKE THE
BIAS/VARIANCE TRADE-OFF, CROSS-VALIDATION, AND REGULARIZATION. MANY
ABSTRACT MATHEMATICAL IDEAS, SUCH AS CONVERGENCE IN PROBABILITY THEORY,
ARE DEVELOPED AND ILLUSTRATED WITH NUMERICAL EXAMPLES. THIS BOOK IS
SUITABLE FOR ANYONE WITH AN UNDERGRADUATE-LEVEL EXPOSURE TO PROBABILITY,
STATISTICS, OR MACHINE LEARNING AND WITH RUDIMENTARY KNOWLEDGE OF PYTHON
PROGRAMMING. EXPLAINS HOW TO SIMULATE, CONCEPTUALIZE, AND VISUALIZE
RANDOM STATISTICAL PROCESSES AND APPLY MACHINE LEARNING METHODS;
CONNECTS TO KEY OPEN-SOURCE PYTHON COMMUNITIES AND CORRESPONDING MODULES
FOCUSED ON THE LATEST DEVELOPMENTS IN THIS AREA; OUTLINES PROBABILITY,
STATISTICS, AND MACHINE LEARNING CONCEPTS USING AN INTUITIVE VISUAL
APPROACH, BACKED UP WITH CORRESPONDING VISUALIZATION CODES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
| any_adam_object | 1 |
| author | Unpingco, José 1969- |
| author_GND | (DE-588)1113037261 |
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| author_variant | j u ju |
| building | Verbundindex |
| bvnumber | BV043504176 |
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| ctrlnum | (ZDB-2-ENG)978-3-319-30717-6 (OCoLC)946149942 (DE-599)BVBBV043504176 |
| dewey-full | 621.382 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.382 |
| dewey-search | 621.382 |
| dewey-sort | 3621.382 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| doi_str_mv | 10.1007/978-3-319-30717-6 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:53:02Z |
| institution | BVB |
| isbn | 9783319307176 9783319307152 |
| language | English |
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| publishDateSearch | 2016 |
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| publisher | Springer International Publishing |
| record_format | marc |
| spellingShingle | Unpingco, José 1969- Python for probability, statistics, and machine learning Engineering Mathematical statistics Data mining Statistics Applied mathematics Engineering mathematics Electrical engineering Communications Engineering, Networks Appl.Mathematics/Computational Methods of Engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Ingenieurwissenschaften Statistik |
| title | Python for probability, statistics, and machine learning |
| title_auth | Python for probability, statistics, and machine learning |
| title_exact_search | Python for probability, statistics, and machine learning |
| title_full | Python for probability, statistics, and machine learning José Unpingco |
| title_fullStr | Python for probability, statistics, and machine learning José Unpingco |
| title_full_unstemmed | Python for probability, statistics, and machine learning José Unpingco |
| title_short | Python for probability, statistics, and machine learning |
| title_sort | python for probability statistics and machine learning |
| topic | Engineering Mathematical statistics Data mining Statistics Applied mathematics Engineering mathematics Electrical engineering Communications Engineering, Networks Appl.Mathematics/Computational Methods of Engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Ingenieurwissenschaften Statistik |
| topic_facet | Engineering Mathematical statistics Data mining Statistics Applied mathematics Engineering mathematics Electrical engineering Communications Engineering, Networks Appl.Mathematics/Computational Methods of Engineering Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Probability and Statistics in Computer Science Data Mining and Knowledge Discovery Ingenieurwissenschaften Statistik |
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