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

Steven Fernandes Apr 12, 2024

This insightful book dives deep into the essentials of machine learning and artificial intelligence, stressing the importance of data quality, expert involvement, and ethical considerations above complex algorithms. It offers practical advice on data handling, including cleaning, labeling, and augmentation, and provides a thorough guide to synthetic data generation with Python. The book is particularly strong on addressing bias, presenting effective strategies for creating fair and equitable AI systems. It rounds off with a critical look at the ethics and responsibilities in AI development. A must-read for anyone in the field, blending technical guidance with a strong ethical framework.

Amazon Verified review

Advitya Gemawat Apr 18, 2024

Going through the book honestly made me walk back memory lane when I took a 'Practice and Applications of Data Science' class back in sophomore year of college.- 📈 **Data Preprocessing**: The book covers various Data Imputation techniques used to handling missing data. It also discusses different ways to detect and handle outliers, including Z-score, IQR method, and the corresponding use of scatter plots and box plots.- 🧠 **Model Selection**: There's a nice walkthrough of various traditional #ML models like Linear & Logistic regression, Decision Trees, and SVMs, along with their assumptions, pros & cons, and code snippets for using these models with scikit-learn. The bullet points in Chapter 9 can especially be good to use for interview prep for college students- 📊 **Feature Engineering**: The book covers foundational techniques like binning, log transform, one-hot encoding, and interaction features, along with overarching strategies such as Active Learning, Weak Supervision, and Semi-supervised learning.But my favorite part of the book was the **Data-Centricity** aspect. Quite frankly, I initially found the book title a bit vague as data-centricity in ML sounded obvious to me. But this is one of the few books I even ended up reading the 'Foreword' of, which I've usually skipped. And here's why -The Foreword combined with the last chapter had an well-intentional storyline of introducing the philosophical foundations of how data was collected throughout history, *how* (not just why) data is the main and most important fabric of the ML lifecycle, and even touching upon Responsible #AI at the end.This storyline can be quite beneficial for folks newly getting into the ML space - for a traditional model or an LLM, groundedness in high-quality data is the most important and effective driver of the lifecycle.The book reads like a more relevant resource for early-in-career professionals looking to enter the AI industry, folks looking to strengthen their fundamentals and use for interview prep, and college students with a basic programming background.

H2N Apr 15, 2024

The book discusses about improving data quality in order to get robust, fair, and interpretable ML models. It challenges the traditional focus on algorithms by shifting towards data-centric methods. This book provides lots of practical examples using modern techniques, emphasizing collaboration between data scientists and domain experts to refine data quality, making it an essential guide for advancing in AI.

Om S Apr 12, 2024

When I first started out in machine learning, I was completely absorbed in tweaking algorithms and tuning models, always hunting for that slight improvement in accuracy. However, I quickly realized that no matter how much I optimized the models, the real barrier to superior performance was the quality of the underlying data. This revelation shifted my focus entirely and led me to explore data-centric approaches in machine learning—a journey that transformed my projects.This book provides a thorough guide to data-centric machine learning, emphasizing the critical role of high-quality data over merely adjusting models. It introduces the impactful concept of 'small data' and how it can revolutionize ML/AI projects. Through practical strategies for enhancing data collection, labeling, and augmentation, the book ensures readers can refine their datasets effectively. It explores the importance of synthetic data and the necessity of expert involvement in data labeling, equipping professionals with tools to boost their ML practices. The book also addresses how to identify and eliminate biases and stresses the ethical dimensions of machine learning, offering a comprehensive view of both the challenges and solutions in the field. Ideal for data science professionals and enthusiasts, this book serves as an essential resource for anyone eager to prioritize data quality in their machine learning projects.

Amazon Customer Mar 24, 2024

The book adeptly explores the critical importance of data quality in ML projects, providing practical insights and techniques for creating reliable datasets. From data labeling to synthetic data generation, the book equips readers with the essential skills to enhance their ML practices. With a focus on ethics and responsibility, this book serves as a valuable resource for data professionals and ML enthusiasts seeking to elevate their projects through data-centric approaches.

Data-Centric Machine Learning with Python: The ultimate guide to engineering and deploying high-quality models based on good data

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