September 2022
Beginner to intermediate
330 pages
6h 58m
English
Overview
Journey to Become a Google Cloud Machine Learning Engineer is a comprehensive guide designed to help you master machine learning on Google Cloud Platform (GCP) and achieve the coveted Google Cloud Professional Machine Learning Engineer certification. It combines theoretical foundations with hands-on exercises and real-world scenarios.
What this Book will help me do
- Understand and apply essential concepts of Google Cloud Platform for data science and machine learning.
- Gain proficiency in Python programming and data science libraries for ML workflows.
- Develop, deploy, and evaluate machine learning models in GCP using advanced tools like BigQuery ML and Vertex AI.
- Explore deep learning techniques and frameworks, including TensorFlow and Keras, for building neural networks.
- Prepare effectively for the Google Cloud Professional Machine Learning Engineer certification with study strategies and practice questions.
Author(s)
Dr. Logan Song, the author of this guide, brings years of expertise in machine learning and cloud computing. As a professor at the University of Texas at Dallas, Dr. Song has successfully helped students master Google Cloud technologies. Through this book, Dr. Song leverages a wealth of teaching experience to provide clear explanations, practical examples, and guided exercises.
Who is it for?
This book is ideal for professionals in roles such as cloud engineers, data scientists, and machine learning practitioners aiming to certify as a Google Cloud ML Engineer. Readers should possess basic knowledge of Google Cloud Platform and Python programming to fully benefit from the content. Whether you're advancing your career or solidifying your cloud ML expertise, this book will guide you.
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