Tools

LEADER 01999cam 2200445 a 4500

001 on1159433265;

003 OCoLC;

005 20230619044251.0;

008 220817s2020 ncua b 000 0 eng d;

010 a| 2022276750;

019 a| 1158582949a| 1158583376;

020 a| 9781951685393;

020 a| 1951685393;

020 a| 9781951685300;

020 a| 195168530X;

035 a| (Sirsi) o1159433265;

035 a| (OCoLC)1159433265z| (OCoLC)1158582949z| (OCoLC)1158583376;

042 a| lccopycat;

049 a| NEHH;

050 00 a| Q325.5b| .M3214 2020;

245 00 a| Machine learning with SAS Viya.;

264 1 a| Cary, NC :b| SAS Institute Inc.,c| 2020.;

300 a| xx, 364 :b| illustrations ;c| 24 cm;

336 a| textb| txt2| rdacontent;

337 a| unmediatedb| n2| rdamedia;

504 a| Includes bibliographical references (pages 357-363).;

505 0 a| Introduction to machine learning -- Preparing your data: introduction -- Preparing your data: missing and unstructured data -- Preparing your data: extract features -- Discovery: selecting an algorithm -- Decision trees: introduction -- Decision trees: improving the model -- Decision trees: ensemble and forests -- Neural networks: introduction and model architecture -- Neural networks: optimizing the model and learning -- Support vector machines -- Model assessments and deployment -- Additional model manager tools and open-source code.;

630 00 a| SAS (Computer file)=| ^A297874;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Computer algorithms.=| ^A285321;

650 2 a| Algorithms.=| ^A923138;

710 2 a| SAS Institute.=| ^A85352;

949 a| Q 325.5 S252 2020h| HSL70i| 31740082867502p| $35.95o| hmt;

994 a| C0b| NEH;

096 a| Q 325.5b| S252 2020;

596 a| 4;

998 a| 6157046;

999 a| Q 325.5 S252 2020w| NLMc| 1i| 31740082867502d| 4/8/2024e| 3/31/2024l| HSLBKm| HSLn| 4p| $35.95r| Ys| Yt| HBKu| 6/19/2023x| BOOKz| HSTACKSo| .STAFF. hmt;

Machine learning with SAS Viya.

Other author	SAS Institute.
Format	Book
Publication	Cary, NC : SAS Institute Inc., 2020.
Description	xx, 364 : illustrations ; 24 cm
Subjects	SAS (Computer file) Machine learning. Computer algorithms. Algorithms.

Contents	Introduction to machine learning -- Preparing your data: introduction -- Preparing your data: missing and unstructured data -- Preparing your data: extract features -- Discovery: selecting an algorithm -- Decision trees: introduction -- Decision trees: improving the model -- Decision trees: ensemble and forests -- Neural networks: introduction and model architecture -- Neural networks: optimizing the model and learning -- Support vector machines -- Model assessments and deployment -- Additional model manager tools and open-source code.
Bibliography note	Includes bibliographical references (pages 357-363).
LCCN	2022276750
ISBN	9781951685393
ISBN	1951685393
ISBN	9781951685300
ISBN	195168530X

Machine learning with SAS Viya.

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