000			02305nam a22002897a 4500
005			20260605142941.0
008			260605s2022 |||||||| |||| 00| 0 eng d
020			_a9781801819312
040			_cPK-LaUMT
082			_a006.31 _bRAS-M
100	1		_aRaschka, Sebastian _95559
245	1	0	_aMachine learning with PyTorch and Scikit-Learn : _bdevelop machine learning and deep learning models with Python / _cSebastian Raschka, Yuxi Liu and Vahid Mirjalili ; foreword by Dmytro Dzhulgakov
260			_aBirmingham : _bPackt Publishing, _c2022
300			_axxix, 741 p.
490			_aExpert insight
500			_aIndex present
520			_a"Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, this book covers all the essential machine learning techniques in depth. While some books teach youonly to follow instructions, with this machine learning book, we teach you the principles to build models and applications for yourself. Updated to cover deep learning using PyTorch, this book also introduces readers to the latest additions to scikit-learn. Moreover, this book covers various machine learning and deep learning techniques for text and image classification. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is also expanded to cover the latest trends in deep learning, including introductions to graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments" -- From back cover
546			_aEng
650			_aMachine learning
650			_aArtificial intelligence
650			_aDeep learning
650			_aPython (computer program language) _93584
700	1		_aLiu, Yuxi _912334
700	1		_aMirjalili, Vahid _912335
700	1		_aDzhulgakov, Dmytro _912336
942			_cBK
999			_c140988 _d140988