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All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

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The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

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If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
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You can cancel any order within 1 hour of placing the order. Simply contact [email protected] with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at [email protected] using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

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We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on [email protected] with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on [email protected] within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on [email protected] who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on [email protected] within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

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Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

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You can pay with the following card types:

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What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

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Amazon verified reviews

Anshuman Ranjan Apr 25, 2021

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 !!

Amazon Verified review

IntegralBill Apr 24, 2021

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!

Lucinda Linde May 28, 2021

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.

Will Jan 09, 2022

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!

Stephanie Jul 04, 2021

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.

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

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