000 04638cam a22005057i 4500
001 1404054997
003 OCoLC
005 20250130162718.0
006 m o d
007 cr cnu---unuuu
008 231018t20242024nju o 000 0 eng d
020 _a9781394209118
_qelectronic book
020 _a1394209118
_qelectronic book
020 _a9781394209101
_qelectronic book
020 _a139420910X
_qelectronic book
020 _z9781394209088
_qhardcover
020 _z1394209088
_qhardcover
035 _a(OCoLC)1404054997
037 _a9781394209088
_bO'Reilly Media
040 _aYDX
_beng
_erda
_cYDX
_dORMDA
_dYDX
_dOCLCF
_dOCLCO
050 4 _aTA345.5.M42
_bA46 2024
100 1 _aAl-Malah, Kamal I. M.,
_0https://id.loc.gov/authorities/names/n2013032870
_eauthor
245 1 0 _aMachine and deep learning using MATLAB :
_balgorithms and tools for scientists and engineers /
_cKamal I. M. Al-Malah
264 1 _aHoboken, NJ :
_bJohn Wiley & Sons, Inc.,
_c2024
264 4 _c©2024
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
340 _gpolychrome
_2rdacc
_0http://rdaregistry.info/termList/RDAColourContent/1003
520 _aMACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues. Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps Retraining and creation for image labeling, object identification, regression classification, and text recognition Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications
506 _aAvailable to OhioLINK libraries
650 0 _aMachine learning.
_0https://id.loc.gov/authorities/subjects/sh85079324
_9738
650 0 _aNumerical analysis
_xData processing.
_0https://id.loc.gov/authorities/subjects/sh2008108514
_92439
650 0 _aComputer programming.
_0https://id.loc.gov/authorities/subjects/sh85107310
_9364
650 0 _aNumerical analysis
_xComputer programs.
_0https://id.loc.gov/authorities/subjects/sh85093239
_923630
630 0 0 _aMATLAB.
_0https://id.loc.gov/authorities/names/n92036881
_95667
710 2 _aOhio Library and Information Network.
_0https://id.loc.gov/authorities/names/no95058981
776 0 8 _iPrint version:
_z1394209088
_z9781394209088
_w(OCoLC)1374815009
856 4 0 _3OhioLINK
_zConnect to resource
_uhttps://rave.ohiolink.edu/ebooks/ebc2/9781394209118
856 4 0 _3Wiley Online Library
_zConnect to resource
_uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781394209118
856 4 0 _3Wiley Online Library
_zConnect to resource (off-campus)
_uhttps://go.ohiolink.edu/goto?url=https://onlinelibrary.wiley.com/doi/book/10.1002/9781394209118
856 4 0 _3O'Reilly
_zConnect to resource
_uhttps://learning.oreilly.com/library/view/~/9781394209088/?ar
999 _c200463842
_d82054