Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines

Just received the book and the contents are printed in black and white. For the price, I expected the same printing quality as Hands On Machine Learning with Keras and Tensorflow book, also by O'Reilly, which has glossy pages and colour printing. Not to mention that most of figures/graphs are not visible because the image quality is very bad and the back and white printing makes it difficult to read charts properly. Disappointed...Contents wise, it is a well-written book and very concise and hence 5 stars out of respect for the authors who had no control over the printing quality of the book.EDIT 13.08.2022Almost finishing the book. I might have been a bit too harsh in my initial review. I have to say it takes some time to adapt to how the technical parts of the book are written and this is because most of code needed to carry out ML in SageMaker requires tons of lines of unfriendly looking code which looks scary at first sight. The book is actually good once you get deeper into it. There is a considerable amount of new knowledge I’ve learnt from it.

Straight away the first 4 chapters was applicable for me in a data engineering. Project.

Very informative book for data science on AWS

Excellent book for those pursuing AWS certification

good