Machine and Deep Learning Using MATLAB : Algorithms and Tools for Scientists and Engineers /
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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, NJ :
John Wiley & Sons, Inc.,
2024
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Call Number : | TA 345.5.M42 |
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 106013 | ||
| 003 | MY-KlNDU | ||
| 005 | 20250702115909.0 | ||
| 006 | a|||| |||| 001 0 | ||
| 007 | ta | ||
| 008 | 250702s20242024njua 001 0 eng d | ||
| 020 | |a 9781394209088 (hbk) | ||
| 020 | |z 9781394209101 (epub) | ||
| 020 | |z 9781394209118 (ebk) | ||
| 040 | |a DLC |b eng |c MY-KlNDU |e rda | ||
| 050 | 0 | 0 | |a TA 345.5.M42 |
| 090 | |a TA 345.5.M42 |b A46 2024 | ||
| 100 | 1 | |a Al-Malah, Kamal I. M., |e author | |
| 245 | 1 | 0 | |a Machine and Deep Learning Using MATLAB : |b Algorithms and Tools for Scientists and Engineers / |c Kamal I. M. Al-Malah |
| 264 | 1 | |a Hoboken, NJ : |b John Wiley & Sons, Inc., |c 2024 | |
| 264 | 4 | |c ©2024 | |
| 300 | |a xvi, 570 pages : |b illustrations ; |c 26 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 500 | |a Includes index | ||
| 520 | |a 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 | ||
| 630 | 0 | 0 | |a MATLAB |
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Numerical analysis |x Data processing | |
| 650 | 0 | |a Computer programming | |
| 650 | 0 | |a Numerical analysis |x Computer programs | |
| 942 | |c 1 |2 lcc | ||
| 999 | |c 106013 |d 106013 | ||