Google Cloud Certified Professional Machine Learning Engineer Study Guide(1st Edition)

Authors:

Mona Mona , Pratap Ramamurthy

Type:Hardcover/ PaperBack / Loose Leaf
Condition: Used/New

In Stock: 2 Left

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Book details

ISBN: 1119944465, 978-1119944461

Book publisher: Wiley

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Book Price $0 : The 'Google Cloud Certified Professional Machine Learning Engineer Study Guide' by Mona Mona and Pratap Ramamurthy is a comprehensive resource designed for professionals seeking to deepen their understanding of machine learning within the Google Cloud ecosystem. This study guide is meticulously structured, providing an in-depth exploration of cloud-based machine learning methodologies, and emphasizing the implementation of AI models using Google services. The book serves as a solution manual for the Google Cloud certification exam, offering a detailed answer key that aids in understanding complex concepts and problem-solving techniques. Key themes include data engineering, model development and deployment, as well as ethical AI practices. Readers are guided through the table of contents, covering topics such as TensorFlow, data preparation techniques, and advanced neural network architectures, all crucial for a successful career in data science and cloud computing. The study guide has been well received for its practical examples, thorough explanations, and alignment with current industry practices. With its focus on real-world applications, this book is not only a valuable resource for exam preparation but also an essential tool for anyone looking to master machine learning in a cloud environment. Emphasizing the integration of machine learning algorithms with cloud infrastructure, the book ensures candidates are well-prepared for professional challenges. Finding a cheap, reliable resource manual has never been easier thanks to this publication.

Customer Reviews

Trusted feedback from verified buyers

IW
Iris Webb
5.0
Needed this free study guide for my course CSCI 405: Professional Machine Learning Engineering on Google Cloud and I’m pretty glad I got it. The stuff inside is clear enough to follow without getting lost, and even though I haven’t gone through everything, what I've tackled so far makes sense. The explanations actually help connect the dots and it’s laid out in a way that keeps me going instead of snoozing. Perfect for quick study breaks or when you suddenly review something tricky. No complaints, came looking like new too.
AG
Alexandra Grant
4.0
For my Master of Science in Machine Learning and Data Analytics studies I grabbed this guide free and it showed up quicker than expected, which was cool. The book looks clean and finished a quick glance to see the layout—it’s pretty straightforward which helps me not get bored right away, though I haven’t gotten far yet. Nice quality print and feels solid in your hands, honestly. Would say it’s worth grabbing if you’re on a similar study path and want something clear to start with. Want to spend more time with it later but so far it’s promising!