000			01930nam a22003017a 4500
999			_c87304 _d87304
003			CITU
005			20240509083950.0
008			240509b ||||| |||| 00| 0 eng d
020			_a9789355511935
040			_aDLC _beng _cDLC _erda _dDLC
041			_aeng
082	0	0	_a006.301/51
100	1		_aGhosh, Tamoghna, _eauthor.
245	1	0	_aPractical mathematics for AI and deep learning / _cTamoghna Ghosh and Shravan Kumar Belagal Math.
250			_aFirst edition.
264		1	_aNew Delhi : _bBPB Publications, _c2023.
300			_axxiv, 504 pages : _billustrations ; _c24 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
500			_aTamoghna is an AI Software Solutions Engineer in Client Computing Group at Intel and has 15 years of work experience. He has a master’s in computer science from Indian Statistical Institute and a master’s in mathematics form Calcutta University. He has 4 US patents, 3 IEEE papers and has also authored book on Transfer learning.
500			_aShravan is currently an AI Engineer at Intel’s Client Computing Group with 11 years of working experience. He had Master of Engineering degree from Indian Institute of Science, Computer Science and Automation department. He has been granted with 4 US patents. His interest lies in application of AI algorithms to solve real world problems.
501			_aIncludes index.
505	0		_a1. Overview of AI -- 2. Linear algebra -- 3. Vector calculus -- 4. Basic statistics and probability theory -- 5. Statistical inference and applications -- 6. Neural networks -- 7. Clustering -- 8. Dimensionality Reduction -- 9. Computer vision -- 10. Sequence learning models -- 11. Natural language processing -- 12. Generative models -- Index.
650		0	_aArtificial intelligence _xMathematics.
700	1		_aMath, Shravan Kumar Belagal, _eauthor.
942			_2ddc _cBK