FAQs

What is the delivery time and cost of print book?

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:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

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

Disclaimer:
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.

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

What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

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.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

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.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com 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 customercare@packt.com 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.

What is your returns and refunds policy?

Return Policy:

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 customercare@packt.com 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 customercare@packt.com 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 customercare@packt.com 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 customercare@packt.com 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.

What tax is charged?

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.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
Visa Credit
MasterCard
PayPal

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

aly Sep 21, 2022

I am coming from a strong k8s background and I wanted to transfer and bridge this knowledge with ML. This book gives a very practical guide to fill in the gaps and give me the needed MLOps practical and theoretical knowledge to use k8s for ML deployments on production.I highly recommend it for readers with k8s background and also who want to learn the modern way to deploy and build ML models in the public cloud such as AWS.

Amazon Verified review

Daniel Sullivan Sep 12, 2022

If you are building and deploying ML models in Kubernetes, this is a great place to start. The book does a good job of providing an overview of MLOps as data engineering while also introducing ML concepts like feature engineering and model evaluation. These provide the foundation for detailed explanations of how to install and use ML platform components, like Jupyter Notebooks. Apache Airflow, MLFlow, and Spark. I especially like the details on setting up Keycloak for authentication, which isn't strictly an ML component but the lack of an authentication system can be a blocker to production deployments.The book covers a lot of ground but it is well organized and the extensive use of screen shots and diagrams complement the text.

Guangping zhang Jul 28, 2022

This book is about machine learning on KubernetesThe book contain a lots of contents about advanced progress on machine learning:MLOps is the convergence of ML, DevOps, and data engineering disciplines that focus on running ML in production.Kubernetes, Kubernetes-based software to run anywhere, from small on-premises data centers to large cloud platforms AWS, GCP and Azure.This capability will give you the portability to run your ML platform anywhere you want.Kubeflow is a machine learning toolkit that provides a pipeline solution called Kubeflow PipelinesThis book discuss both the Data engineering pipeline and ML engineering pipeline, introduce Using MLFlow as an experiment tracking system, Using MLFlow as a model registry systemAutomation is the most popular field now, the model deployment and monitoring need to be automated to increase the efficiency.The GKE platform can package, deploy and automate the model onto the platform, so You can automate all these steps using the workflow engine provided by the platform.GKE also can monitor your model performance and decide whether the model needs retraining on the new dataset not.This book also introduces Docker and containers very well.Recently GKE was updated to Vertex AI, unfortunately this book doesn't mention this update, but the reader can easily find the knowledge from online.I strongly suggest you read this good book.

venky Aug 02, 2022

Best value for price and great content. I really enjoyed reading and implementing concepts explained in the book. Most books introduce topics as bits and pieces but miss composing an end to end project with topics they targeted to elaborate, Faisal and Ross did great job in crafting chapters from novice to advanced level and curate the exercises across. I can say that even if you are an experienced engineer in cloud tech with ML area, you will learn good amount of stuff from this book. This book has sparked my interest to learn more about Kubernetes and building an end to end platform, I am gonna publish a blog on ML platform setup. Thanks to Authors for pouring their experience and crafting such good hands-on exercises with great detail.

Yiqiao Yin Aug 03, 2022

Both authors come from Red Hat and provided a lot of industry experience. I really like the book from the beginning because it starts with motivation and challenges in the industry. I really enjoyed the cloud-agnostic property. It's interesting to see from the author's perspectives how the proposed platform can be contributing factor to the entire MLOps and also deployable from cloud-based platforms. I find this part well written and I have had a lot of fun reading these chapters. Coming from my jobs working with people from different parts of the world, I think it's important that today's software platform is equipped with cloud-based technology so it resonate a lot with me to see that this is covered in the book. I have had a lot of fun and joy reading this book and I highly recommend it to everybody else! Please review the video if you want an in-depth feedback of this book!

Machine Learning on Kubernetes: A practical handbook for building and using a complete open source machine learning platform on Kubernetes

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