|
|
|
|
LEADER |
00000cam a2200000 i 4500 |
001 |
OR_on1081175783 |
003 |
OCoLC |
005 |
20231017213018.0 |
006 |
m o d |
007 |
cr unu|||||||| |
008 |
190108t20152016caua ob 000 0 eng d |
040 |
|
|
|a UMI
|b eng
|e rda
|e pn
|c UMI
|d STF
|d MERER
|d OCLCF
|d OCLCQ
|d CEF
|d C6I
|d OCLCQ
|d OCLCO
|d KSU
|d OCLCQ
|d OCLCO
|
029 |
1 |
|
|a AU@
|b 000065066238
|
035 |
|
|
|a (OCoLC)1081175783
|
037 |
|
|
|a CL0501000014
|b Safari Books Online
|
050 |
|
4 |
|a QA76.73.F16
|
049 |
|
|
|a UAMI
|
100 |
1 |
|
|a Petricek, Tomas,
|e author.
|
245 |
1 |
0 |
|a Analyzing and visualizing data with F♯ /
|c Tomas Petricek.
|
246 |
3 |
|
|a Analyzing and visualizing data with F sharp
|
250 |
|
|
|a First edition.
|
264 |
|
1 |
|a Sebastopol, CA :
|b O'Reilly Media,
|c [2015]
|
264 |
|
4 |
|c ©2016
|
300 |
|
|
|a 1 online resource (1 volume) :
|b illustrations
|
336 |
|
|
|a text
|b txt
|2 rdacontent
|
337 |
|
|
|a computer
|b c
|2 rdamedia
|
338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
588 |
0 |
|
|a Online resource; title from title page (Safari, viewed January 8, 2019).
|
504 |
|
|
|a Includes bibliographical references.
|
520 |
|
|
|a In this report, F♯ contributor Tomas Petricek explains many of the key features of the F♯ language that make it a great tool for data science and machine learning. Real world examples take you through the entire data science workflow with F♯, from data access and analysis to presenting the results. You'll learn about: How F♯ and its unique features-such as type providers-ease the chore of data access The process of data analysis and visualization, using the Deedle library, R type provider and the XPlot charting library Implementations for a clustering algorithm using the standard F♯ library and how the F♯ type inference helps you understand your code The report also includes a list of resources to help you learn more about using F♯ for data science.
|
590 |
|
|
|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
|
650 |
|
0 |
|a F♯ (Computer program language)
|
650 |
|
0 |
|a Machine learning.
|
650 |
|
6 |
|a Apprentissage automatique.
|
650 |
|
7 |
|a F♯ (Computer program language)
|2 fast
|
650 |
|
7 |
|a Machine learning
|2 fast
|
856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781492048350/?ar
|z Texto completo (Requiere registro previo con correo institucional)
|
994 |
|
|
|a 92
|b IZTAP
|