000			01922nam a2200229Ia 4500
003			NULRC
005			20250520103011.0
008			250520s9999 xx 000 0 und d
020			_a9781838820299
040			_cNULRC
050			_aQ 325.5 .B66 2020
100			_aBonaccorso, Giuseppe _eauthor
245		0	_aMastering machine learning algorithms : _bexpert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work / _cGiuseppe Bonaccorso
250			_aSecond Edition
260			_aBirmingham, UK : _bPackt Publishing, Limited, _cc2020
300			_axviii, 773 pages ; _c24 cm.
365			_bUSD45
505			_aMachine Learning Model Fundamentals -- Loss functions and Regularization -- Introduction to Semi-Supervised Learning -- Advanced Semi-Supervised Classification -- Graph-based Semi-Supervised Learning -- Clustering and Unsupervised Models -- Advanced Clustering and Unsupervised Models -- Clustering and Unsupervised Models for Marketing -- Generalized Linear Models and Regression -- Introduction to Time-Series Analysis -- Bayesian Networks and Hidden Markov Models -- The EM Algorithm -- Component Analysis and Dimensionality Reduction -- Hebbian Learning -- Fundamentals of Ensemble Learning -- Advanced Boosting Algorithms -- Modeling Neural Networks -- Optimizing Neural Networks -- Deep Convolutional Networks -- Recurrent Neural NetworksAuto-Encoders -- Introduction to Generative Adversarial Networks -- Deep Belief Networks -- Introduction to Reinforcement Learning -- Advanced Policy Estimation Algorithms.
520			_aA new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques
650			_aCOMPUTER ALGORITHMS
942			_2lcc _cBK
999			_c21025 _d21025