Machine learning with Scala quick start guide : leverage popular machine learning algorithms and techniques and implement them in Scala /
Scala as a programming language is a highly scalable integration of object-oriented and functional programming, which makes it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to train effective machine...
Saved in:
Main Author: | |
---|---|
Format: | Electronic eBook |
Language: | English |
Published: |
Birmingham ; Mumbai :
Packt Publishing,
2019.
|
Subjects: | |
Online Access: | CONNECT |
MARC
LEADER | 00000cam a2200000Mi 4500 | ||
---|---|---|---|
001 | in00006438850 | ||
006 | m o d | ||
007 | cr |n|---||||| | ||
008 | 190525s2019 enk o 000 0 eng d | ||
005 | 20240621152336.0 | ||
015 | |a GBC221668 |2 bnb | ||
016 | 7 | |a 019397884 |2 Uk | |
019 | |a 1100450449 | ||
020 | |a 1789345413 | ||
020 | |a 9781789345414 |q (electronic bk.) | ||
020 | |z 9781789345070 |q print | ||
035 | |a 1WRLDSHRon1101035930 | ||
035 | |a (OCoLC)1101035930 |z (OCoLC)1100450449 | ||
037 | |a 9781789345414 |b Packt Publishing | ||
040 | |a EBLCP |b eng |e pn |c EBLCP |d CHVBK |d OCLCQ |d YDX |d UKAHL |d OCLCQ |d N$T |d OCLCF |d OCLCQ |d NLW |d OCLCO |d UKMGB |d OCLCO |d Z5A |d OCLCQ |d OCLCO |d OCLCL |d TMA |d OCLCQ | ||
049 | |a TXMM | ||
050 | 4 | |a QA76.73.S28 | |
050 | 4 | |a QA76.73.P98 |b .V355 2019 | |
082 | 0 | 4 | |a 005.114 |2 23 |
082 | 0 | 4 | |a 006.31 |2 23 |
100 | 1 | |a Karim, Md. Rezaul, |e author. | |
245 | 1 | 0 | |a Machine learning with Scala quick start guide : |b leverage popular machine learning algorithms and techniques and implement them in Scala / |c Md. Rezaul Karim. |
264 | 1 | |a Birmingham ; |a Mumbai : |b Packt Publishing, |c 2019. | |
264 | 4 | |c ©2019 | |
300 | |a 1 online resource (215 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a data file |2 rda | ||
500 | |a Includes index. | ||
588 | 0 | |a Print version record. | |
505 | 0 | 0 | |g 1. |t Introduction to Machine Learning with Scala -- |g 2. |t Scala for Regression Analysis -- |g 3. |t Scala for Learning Classification -- |g 4. |t Scala for Tree-Based Ensemble Techniques -- |g 5. |t Scala for Dimensionality Reduction and Clustering -- |g 6. |t Scala for Recommender System -- |g 7. |t Introduction to Deep Learning with Scala. |
520 | |a Scala as a programming language is a highly scalable integration of object-oriented and functional programming, which makes it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data scientists who want to train effective machine learning models using this popular language. | ||
504 | |a Includes bibliographical references. | ||
500 | |a EBSCO eBook Academic Comprehensive Collection North America |5 TMurS | ||
650 | 0 | |a Machine learning. | |
650 | 0 | |a Scala (Computer program language) | |
650 | 0 | |a Python (Computer program language) | |
650 | 0 | |a Neural networks (Computer science) | |
730 | 0 | |a WORLDSHARE SUB RECORDS | |
758 | |i has work: |a Machine Learning with Scala Quick Start Guide (Work) |1 https://id.oclc.org/worldcat/entity/E39PCYTrYpVwb6tXywjMyBfFQV |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |a Karim, Rezaul. |t Machine Learning with Scala Quick Start Guide : Leverage Popular Machine Learning Algorithms and Techniques and Implement Them in Scala. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781789345070 |
856 | 4 | 0 | |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2116465&authtype=ip,sso&custid=s4672406 |z CONNECT |3 eBooks on EBSCOhost |t 0 |
949 | |a ho0 | ||
994 | |a 92 |b TXM | ||
998 | |a wi |d z | ||
999 | f | f | |s 57504601-878f-456b-9ebe-dbef7d9fef7b |i b5ce2989-d0ec-4bbc-ac97-1594d592aff3 |t 0 |
952 | f | f | |a Middle Tennessee State University |b Main |c James E. Walker Library |d Electronic Resources |t 0 |e QA76.73.S28 .V355 2019 |h Library of Congress classification |