FAQs

What is the digital copy I get with my Print order?

When you buy any Print edition of our Books, you can redeem (for free) the eBook edition of the Print Book you’ve purchased. This gives you instant access to your book when you make an order via PDF, EPUB or our online Reader experience.

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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Packt verified reviews

Feefo verified reviews

Amazon verified reviews

Gornganog Oct 28, 2023

Good reference and easy to understand by the explanation and picture attached.

Subscriber review

E. Leonard Sep 22, 2023

This is the 4th edition of this book. Clearly an already a successful title it's worth noting this version has loads of updated and new content, enough to treat it and evaluate it as an entirely new title.Coming in over 700 pages it’s not a quick or light read. What you will learn is what you know and what you don’t know. Each of the big topics covered, R language constructs, KNN, probabilistic learning, classification, decision trees, forecasting, SVMs are all subjects of large dedicated, detailed titles themselves and yet what you will find here goes far beyond whistle-stop tours or light intros. The book covers many data engineering topics as well as pure ML engineering. This makes it and end-to-end experience and was a solid choice by the author and production team.Technical books live and die by the quality and correctness of code samples and here the code is styled appropriately, the calibre is consistent and the approaches are well chosen. The Diagrams and supporting text breaking down the samples are clear and punchy enough to make the points well without labouring more than is necessary.Overall the writing style is unfussy, the topic breakdowns and key takeaways are well indicated and a genuine learning experience can be had if you invest as well as a very decent lifespan as a reference. I would put this in the top 3 technical titles I have read this year and would expect to dive in to some the chapters again as a guide in my own projects. If you’re interested in R and ML this is an essential title. If you own a previous edition I’d wager the updates and fresh content are worth the money and bookshelf space. Highly recommended.

Amazon Verified review

Yiyi May 30, 2023

"Machine Learning with R" (Fourth Edition) by Brett Lantz is a comprehensive guide that delves into the world of data preparation, modeling, and machine learning using R. The book is divided into 15 chapters, each focusing on different aspects of machine learning.The advanced data preparation chapter (Chapter 12) provides a deep dive into feature engineering, exploring the role of human and machine in the process, and the impact of big data and deep learning. It offers practical hints for feature engineering, such as brainstorming new features, finding insights hidden in text, transforming numeric ranges, observing neighbors’ behavior, utilizing related rows, decomposing time series, and appending external data. The chapter also introduces R's tidyverse, a collection of R packages designed for data science.Chapter 13 discusses challenges in data handling, including high-dimension data, sparse data, missing data, and imbalanced data. It provides practical solutions and examples for each case, such as feature selection, principal component analysis (PCA), remapping sparse categorical data, binning sparse numeric data, missing value imputation, and Synthetic Minority Over-sampling Technique (SMOTE) for imbalanced data.Overall, "Machine Learning with R" is an excellent resource for anyone interested in machine learning, providing a thorough understanding of advanced data preparation techniques and how to handle complex data. It offers practical examples and solutions, making it a valuable guide for both beginners and experienced practitioners.

Shashank Raina Aug 12, 2023

Exemplary conceptual explanations with good equations and diagrams. As an ML researcher, I would say this book is a good starting point for someone who wants to understand difficult ML concepts.

Jen Sep 15, 2023

I am an R user, and purchased this book with the intent to learn machine learning with R. However, after some thought I decided I will learn python. BUT this book is so brilliantly written! I am actually enjoying reading it and I feel like I am learning and retaining a lot of the concepts. Thank you for making ML so easy and interesting to learn!

Machine Learning with R: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data , Fourth Edition

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