AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide: The definitive guide to passing the MLS-C01 exam on the very first attempt

Recently cleared the exam , This book is a must read with details on all components of the exam .The code projects associated with each service is very useful and Must do , as the exam will test your ability to understand gotchas on implementation . Highly Recommend !!

The media could not be loaded. Please refer to my video for my full review.In summary, I was looking all over for a book specifically for this exam and didn't have much luck. Although I still recommend using other sources, I would definitely recommend one of the sources of study material be a copy of this book!

AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide: The definitive guide to passing the MLS-C01 exam on the very first attemptBy Somanath NandaDisclaimer: This review has been requested by the publisher, and I am giving my honest review of this book. This review is based on reading the book. As with any Packt publication, it's also necessary to try out the code, which I will at a later point in time.OverviewThis book covers the areas tested in the AWS Machine Learning Specialty exam. In addition to providing the info, it also has practice questions that are like the questions asked in the MLS-C01 exam. Although I plan to take this exam in a couple of months, I am already using this book as a reference for ways to approach an NLP project I’m working on. This book will make me a better practitioner of machine learning because it provides context for which algorithms work better in which situations. It will probably become one of the short-list references to use when embarking on a new ML project.What I like about this bookThis book takes you from the ‘big picture’ basics of machine learning in the first chapter, to recent powerful algorithms such as LDA to find topic models within natural language processing.The book is organized into these sections:• Fundamentals• Data Engineering and Exploratory Data Analysis (EDA)• Data Modeling and Evaluating ModelsWithin each section there are chapters that tie in the specific AWS services that help you accomplish the step in the data pipeline. For example, within the EDA section, there’s a chapter on Data Visualization. Most of the chapter is about the different types of visualizations, which are important and why- with examples. At the end, AWS QuickSight is mentioned as the way to visualize data.The Data Storing and Data Processing chapters bring together the many AWS services that support the data access and data wrangling that takes between 80 to 95% of a Data Scientist’s time. It is helpful to see how each of the services fit together in the ML work flow.In most chapters, there is a hands-on portion to try out the AWS capabilities discussed in that chapter. ‘Doing’ cements my learning best- so this is much appreciated.Another reviewer pointed out that this book would have been very helpful when studying for the MLS-CO1 exam. He also mentioned there is no other book like this on the market. I will definitely use this book, as well as a Udemy course to help me prepare for the exam. If the course assumes too much knowledge, this book will be perfect for supplementing anything I may have forgotten or didn’t completely understand.What I don’t like about this bookIn some chapters the AWS service is mentioned but there is no hands-on example. This is true, for example, in the Data Visualization chapter. QuickSight is mentioned and discussed, but there is no hands-on example. Since I haven’t taken the exam yet, this may be a very appropriate choice given how the exam is laid out. However, when using this book as a reference, it might be helpful to have the hands-on example. I understand there is a tradeoff between completeness and covering the material that matters to pass the exam.OverallAWS Certified Machine Learning Specialty: MLS-C01 Certification Guide is a much-needed addition to the resources that help people who want to solidify their ML skills and those who want to study for the MLS-C01 exam.

I recently passed the AWS machine learning specialty exam and utilized this book to help me prepare. The exam requires and in-depth understanding of models and practical applications. This book does an excellent job in providing those important foundational items. I would recommend supplementing this book with the AWS official study guide and AWS hands on experience. Running through the hands on examples in the book helped me a lot. Good Luck!

Awesome Guide too all problems that come while preparing for the MLS -C01 Certification Exam.The topics are clearly explained and practical examples are given.However, a few more could be included.The book gives a feel of what the Exam would look like.The book has 3 sections which give a clear picture of the various major machine learning techniques with step-by-step guidance to:• Introduction to Machine Learning. - Clear comparison between AI, ML and DL along with all the AI/ML offering of AWS.• Data Engineering and Exploratory Data Analysis (EDA) - Explains all the various steps involved right from data preparation & transformation, getting a clear understanding of data and visualizing the same.- Different Tools and offerings of AWS for Data Storage and Data Processing.• Data Modeling. - Applying the different ML Algorithms for either Text analysis or Image processing. - Evaluating and optimizing the models on different parameters - Brief high Level know how of Amazon SageMaker with clarity of the different types of instances to choose from to securing the Notebooks, etc...Overall a great read and would definitely recommend the AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide to all the aspirants who wish to take the MLS-C01 Exam.