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

I have always been interested in the connection between machine learning and the cloud. Thisbook has helped me understand, how to better take advantage of cloud services and usethem for my machine learning procedures. The book covers the very basics of the GCP, likecreating a virtual machine, up to how to use its Machine learning services to make the most of it.The book provides concepts, tips, code, best practices, and guides for the greatest MachineLearning, all of this, is done in GCP.To my surprise, GCP offers much more than I anticipated, and an explanation and implementationof each is offered, some of which I expect to use in the future.I enjoyed how in chapter two machine learning is explained as a step-by-step process, clearlydefining how we should process data, and as a continuation in chapter 3 how to build the modelsfrom the data wrangling from the previous chapter.Producing a good model from machine learning takes a lot of testing, and time but following thistips and steps suggested can help reduce the time necessary since it gives you a betterunderstanding of the concepts, and even better with the provided python codes.One of my greatest takes always was the API section, since I do not want to be uploading the datamanually. The API allows me to pull the data I want automatically from the source database,using different tools depending on the format of the database, without the need for meto intervene.I look forward to using this new knowledge in a new business I am preparing and as a future datascientist.During my school classes, I wondered how to do machine learning with images, in the book I wasable to find a guide step by step on how to produce of model with images.As an extra, there is a chapter for the ones pursuing the google certification, full of questions likethe ones you may be presenting on the exam. For me, the certification is still a long way to go, butit was a good way to test my abilities and understanding of the previous chapters.Overall, I find the book very complete, combining two topics that I really think are the future oftechnology and business, getting the book is a must for anyone interested in cloud or machinelearning models. I look forward to starting my own machine learning using cloud computing inGCP.

“Journey to Become a Google Cloud Machine Learning Engineer” by Dr. Logan Song is a must read for someone who has basic knowledge on how GCP works. Before I started to read, I was quite nervous as I have only basic knowledge on GCPs’ functionalities, but the book made me ease through it as everything written was so well explained that someone who also doesn’t have much knowledge on it would still be able to stay on track. The book keeps up with the title ‘A Journey to Become a Google Cloud Machine Learning Engineer’. It was indeed a journey and I fell in love with this book so much that I read it over two times.This book has four major parts: Starting with GCP and Python, Introducing ML, masteringML in GCP, and Accomplishing GCP ML Certification.There Is a fifth part that is the Appendices – that gives helps us to practice problems on several topics covered in the book. This gives the readers the ability to have a hands-on experience and evaluate themselves on their understanding. This is in fact my most favorite part as I always understand by experimenting and trying my hands on.While there is always scope for learning through videos or educational websites, sometimes we are bewildered as to what to learn to achieve any certificate, but Dr. Logan Song has made that easy by writing a book. Now this gives us an idea on what topics to learn to achieve a GCP ML Certification. Though, he has not gone deeper into every topic at least a foundation has been created and it’s now our time to dig deeper.Throughout, Chapter 3 – ‘Mastering ML in GCP’ made me curious on how Cloud technology has taken over the IT world. The author touch bases on all ML topics and links them with GCP so well that this made me wonder to take up Machine Learning as a career. Chapter 4 helps readers or students to achieve certification and I would recommend this book to anyone who wants to get themselves certified as a Google Cloud Machine Learning Engineer.I am looking forward to more books by Dr. Logan Song as I am sure it would shape my career.Thank you so much for providing a wonderful book for readers like us.

This book provides the information required to learn and understand programming. Learners and programmers using the book would make it easy to comprehend or digest the information articulated in the book based on its simplicity. For instance, a fresher man interested in learning about python programming would find this book valuable and worthy of their time. The author has made it easy to read, understand, and grasp the concepts and steps without needing expert assistance. The technical elements of programming have been illustrated simply by providing simple step by step directions. It is an exciting read that even experts may refer to when needed.

The future of technological progress lies in ABC - Artificial Intelligence, Big Data & Cloud Computing. This book by Dr Logan Song explains the relationship between the two components of ABC - Artificial Intelligence (ML) & Cloud computing (Google Cloud). Besides this, the author also included Python as it is necessary for ML algorithms and models. Many people are curious about the connection between machine learning and cloud services. The book covers the basics of all the services provided by GCP and how it works simultaneously with machine learning models. The book also provides some exercises to get hands-on experience on topics covered in the book.The best thing about the book is its part 3 - it talks about how ML and Cloud Services work together in sync and how it improves the performance of the ML model as a whole. Also, it touches almost every topic that exists in cloud computing which helps a beginner to get familiar with all the prevailing cloud services.On the other hand, due to the fact that it covered all the topics, the book didn't dive deep into each topic. Therefore, beginners will have to refer to the official website links to understand the topics in detail. Also, it would be helpful for the reader if GCP screenshots can be included in the book. The reader will understand the procedure with more clarity.Overall, it's a great book to refer to if someone wants to become a Google Cloud Certified ML professional.

This is a great book for anyone who already has fundamental knowledge in cloud computing and Python to delve deeper into ML on the Google Cloud Platform (GCP). The concepts and procedures are well explained using relatable business scenarios and analogies.The book has 5 parts that follow smoothly one after the other. Part 1 introduces GCP and Python whilst Part 2 is about Machine Learning (ML) using Python. Part 3, Mastering ML in GCP, is where everything comes together. It talks about BigQuery ML, Tensorflow/Keras frameworks as well as the numerous pre-trained model APIs offered by GCP. Part 4 focusses on how to become a certified GCP ML professional with guidelines and sample questions for the exams. The Appendices form Part 5 and is devoted to lots and lots of hands-on exercises.The book would benefit from a general cloud computing overview before delving into GCP. This would be especially useful for people who are new to cloud technology.Overall, this book does a great job on teaching how to master and integrate two powerful and fast-evolving technologies. It will be a great help for anyone delving into ML.