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

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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:

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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:

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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

Joe Porter Jan 24, 2021

KNIME continues to Impress! Since I first discovered KNIME 8-10 years ago I have been impressed by it’s ease of use and ability to quickly give analytically oriented people the ability to perform complex data engineering and data science tasks at scale.In this book, KNIME continues this tradition as it does a great job of teaching us multiple deep learning methods with real world use-cases.I would highly recommend this book and the KNIME software to anyone interested in Data Science but wants an alternative to code.

Amazon Verified review

Stefano Jan 30, 2021

Very useful, it help for both to learn NN and to develop without codino! It's the base to democratize data

Vijaykrishna Venkataraman Dec 07, 2020

This book makes deep learning accessible to anyone with little or no prior programming experience. The user-friendly GUI integrations to the open-source KNIME Analytics Platform are built on robust and powerful deep learning frameworks like Keras and TensorFlow. Leverage on the shoulder of giants who already developed the tool and dive straight into trying your hands on some case studies without the burden/barrier of code. The authors provide the right mix of theoretical foundation followed by practical case studies on fraud detection, natural language processing (NLP), image classification, etc. The last section (two dedicated chapters) covers usually neglected topics, like implementing trained models to production and a much-needed chapter on deployment best practices. The deployment options include a web app or a REST web-service again without any coding in no time; however, it requires access to a licensed version of the KNIME Server.To summarize, if you learn best by doing, you can't go wrong with this book. I recommend this to someone who wants to get started but may feel a little lost and anxious. You'll want to check out the book's companion workflows at KNIME Hub. It contains lots of workflows with configured nodes and data that you can run right on your computer.

Themos Kalafatis Dec 07, 2020

This title seemed interesting for two reasons : KNIME is one of the most respected software frameworks for Data Science projects and Deep Learning is one of the hottest Machine Learning techniques with many successful real-world applications.The important point to keep in mind is that the book is written for readers that do not know how to code. Because of this there are no examples for one important functionality of KNIME which is the use of a programming language such as Java, R or Python to pre-process and analyze data.The book walks the reader through KNIME and its key processes with many examples and content related to Deep Learning theory. After the reader learns about the basics of the KNIME framework and the theory of Deep Learning, several sections provide practical examples with the aim of putting everything together.Sections of the practical applications include Natural Language Processing, Image Analysis, Machine translation, Fraud Detection and Energy Demand Prediction. For each application the authors provide information on the necessary steps of pre-processing, analyzing and testing. Finally, a special section is given for the Deployment phase of a project which is often not well explained in many Data Science books.The pros :1) Well-written book, explains key concepts and gives best practices2) Many practical applications provided3) Extensive information on Deployment options.The cons :1) I would prefer an example of Natural Language Processing such as Entity Detection (a technique that transforms unstructured data to a structured format) to be given instead of the Free text generation example2) Although the KNIME framework has so many of them, it would be nice if the authors simply mentioned -rather than fully explain due to limited space- more KNIME Nodes that are likely to be of use when it comes to accessing and pre-processing data. This addition could prove very useful since with programming a lot of pre-processing actions can be implemented and programming is not part of this book.Overall, a very useful and well-written book.

Ema Feb 07, 2021

Very interesting book with useful examples and descriptions. Hope to see more books like this in the future!

Codeless Deep Learning with KNIME: Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

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