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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 [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.

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 [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.

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

Dror Dec 30, 2022

Federated Learning (FL) is an emerging, disruptive technology that radically changes the way enterprises in certain industries work with data and enable data privacy. If you're a data scientist or machine learning (ML) expert working on healthcare, finance or IoT applications, this book is a must-read. For all other ML practitioners, I highly recommend this book as the best resource on the market to get acquainted with the emerging and increasingly important technology of FL and get practical advice on how it can be implemented in real-world applications.The book goes both broadly and deeply into the different aspects of FL. It provides an in-depth coverage of the foundations of FL, the design and implementation of FL systems (both server- and client-side), and production-related aspects of FL. It also provides a nice overview of future trends in FL.In contrast to many other resources on FL, this book covers both theoretical and practical aspects of FL. It begins with the necessary foundations, and then guides the reader on building an application based on FL that can be deployed in either local or cloud environments.It will prove to be a highly useful resource for learning FL for any data scientist, ML engineer or AI practitioner with basic familiarity with ML and the Python programming language.Highly recommended!

Amazon Verified review

Steven Fernandes Feb 23, 2023

This comprehensive guide provides readers with the necessary building blocks to design and implement distributed systems that can be applied to real-world federated learning applications at scale.

YYY-SSS Feb 15, 2024

"Federated Learning with Python" is praised for its practical, accessible approach to federated learning, making it an excellent resource for both researchers and practitioners. The book stands out for its clarity in explaining complex concepts and offering a hands-on guide to developing federated learning applications using Python. It goes beyond theory, providing real-life examples, code snippets, and detailed algorithm explanations. This makes it invaluable for those interested in applying federated learning in real-world projects, addressing challenges such as performance optimization and data heterogeneity. It's highlighted as a must-read for anyone looking to explore federated learning's potential, ensuring readers can develop innovative, privacy-preserving applications.

Amazon Customer Feb 02, 2024

I recently finished reading "Federated Learning with Python" and wanted to provide a review of this informative book on an emerging machine learning approach. The author provides a comprehensive overview of federated learning, a distributed training method that enables multiple devices to collaboratively train a model without sharing raw data.The book effectively explains the core concepts of federated learning in an easy to understand manner. The chapters cover the motivations behind federated learning, the algorithms and system architectures, privacy and security considerations, and practical implementations. I appreciated the inclusion of Python code examples to demonstrate the workflows for training federated models, as this helped solidify my understanding.A key strength of the book is the diverse examples of potential applications across industries like healthcare, finance, robotics, and more. The author examines how federated learning could be applied to drones, humanoid robots, patient diagnostic models, fraud detection, and other uses cases to provide robust models while maintaining data privacy. I found these applied examples highly valuable in comprehending how impactful federated learning can be.Overall, I would highly recommend "Federated Learning with Python " to anyone looking to gain knowledge about this distributed on-device training approach. The book succeeds in explaining the techniques accessibly, providing guidance on real-world implementations, and demonstrating the far-reaching potential of federated learning through diverse examples. This is an important read for both ML practitioners and leaders in AI-driven companies who wish to leverage federated learning while navigating data privacy regulations.

Edd Sep 12, 2024

The BEST book to follow one of the hot topics coming up in the age of AI. If you're interested in actually understanding privacy-focused training of AI models, I highly recommend you to check it out. The author provides a clear and concise introduction, followed by practical implementation examples and code snippets in Python.

Federated Learning with Python: Design and implement a federated learning system and develop applications using existing frameworks

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