000			03480cam a2200277zu 4500
001			88941265
003			FRCYB88941265
005			20250108001407.0
006			m o d
007			cr un
008			250108s2022 fr | o|||||0|0|||eng d
020			_a9781803233727
035			_aFRCYB88941265
040			_aFR-PaCSA _ben _c _erda
100	1		_aSong, Dr. Logan
245	0	1	_aJourney to Become a Google Cloud Machine Learning Engineer _bBuild the mind and hand of a Google Certified ML professional _c['Song, Dr. Logan']
264		1	_bPackt Publishing _c2022
300			_a p.
336			_btxt _2rdacontent
337			_bc _2rdamdedia
338			_bc _2rdacarrier
650		0	_a
700	0		_aSong, Dr. Logan
856	4	0	_2Cyberlibris _uhttps://international.scholarvox.com/netsen/book/88941265 _qtext/html _a
520			_aPrepare for the GCP ML certification exam along with exploring cloud computing and machine learning concepts and gaining Google Cloud ML skillsKey FeaturesA comprehensive yet easy-to-follow Google Cloud machine learning study guideExplore full-spectrum and step-by-step practice examples to develop hands-on skillsRead through and learn from in-depth discussions of Google ML certification exam questionsBook DescriptionThis book aims to provide a study guide to learn and master machine learning in Google Cloud: to build a broad and strong knowledge base, train hands-on skills, and get certified as a Google Cloud Machine Learning Engineer.The book is for someone who has the basic Google Cloud Platform (GCP) knowledge and skills, and basic Python programming skills, and wants to learn machine learning in GCP to take their next step toward becoming a Google Cloud Certified Machine Learning professional.The book starts by laying the foundations of Google Cloud Platform and Python programming, followed the by building blocks of machine learning, then focusing on machine learning in Google Cloud, and finally ends the studying for the Google Cloud Machine Learning certification by integrating all the knowledge and skills together.The book is based on the graduate courses the author has been teaching at the University of Texas at Dallas. When going through the chapters, the reader is expected to study the concepts, complete the exercises, understand and practice the labs in the appendices, and study each exam question thoroughly. Then, at the end of the learning journey, you can expect to harvest the knowledge, skills, and a certificate.What you will learnProvision Google Cloud services related to data science and machine learningProgram with the Python programming language and data science librariesUnderstand machine learning concepts and model development processesExplore deep learning concepts and neural networksBuild, train, and deploy ML models with Google BigQuery ML, Keras, and Google Cloud Vertex AIDiscover the Google Cloud ML Application Programming Interface (API)Prepare to achieve Google Cloud Professional Machine Learning Engineer certificationWho this book is forAnyone from the cloud computing, data analytics, and machine learning domains, such as cloud engineers, data scientists, data engineers, ML practitioners, and engineers, will be able to acquire the knowledge and skills and achieve the Google Cloud professional ML Engineer certification with this study guide. Basic knowledge of Google Cloud Platform and Python programming is required to get the most out of this book.
999			_c76775 _d76775