Journey to Become a Google Cloud Machine Learning Engineer. Build the mind and hand of a Google Certified ML professional

Journey to Become a Google Cloud Machine Learning Engineer. Build the mind and hand of a Google Certified ML professional - Opis

This 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. Spis treści: 1. Comprehending Google Cloud Services2. Mastering Python Programming3. Preparing for ML Development4. Developing and Deploying ML Models5. Understanding Neural Networks and Deep Learning6. Learning BQ/BQML, TensorFlow and Keras7. Exploring Google Cloud Vertex AI8. Discovering Google Cloud ML API9. Using Google Cloud ML Best Practices10. Achieving (...) więcej the GCP ML Certification11. Appendix 1 - Practicing with Basic GCP Services12. Appendix 2 - Practicing with Python Data Library13. Appendix 3 - Practicing with ScikitLearn14. Appendix 4 - Practicing with Vertex AI15. Appendix 5 - Practicing with Google Cloud ML API O autorze: Dr. Logan Song is the enterprise cloud director and chief cloud architect at Dito. With 25+ years of professional experience, Dr. Song is highly skilled in enterprise information technologies, specializing in cloud computing and machine learning. He is a Google Cloud-certified professional solution architect and machine learning engineer, an AWS-certified professional solution architect and machine learning specialist, and a Microsoft-certified Azure solution architect expert. Dr. Song holds a Ph.D. in industrial engineering, an MS in computer science, and an ME in management engineering. Currently, he is also an adjunct professor at the University of Texas at Dallas, teaching cloud computing and machine learning courses. mniej