What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Colour book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Key benefits

Understand key data science algorithms with Python-based examples

Increase the impact of your data science solutions by learning how to apply existing algorithms

Take your data science solutions to the next level by learning how to create new algorithms

Purchase of the print or Kindle book includes a free PDF eBook

Description

Data science combines the power of data with the rigor of scientific methodology, with mathematics providing the tools and frameworks for analysis, algorithm development, and deriving insights. As machine learning algorithms become increasingly complex, a solid grounding in math is crucial for data scientists. David Hoyle, with over 30 years of experience in statistical and mathematical modeling, brings unparalleled industrial expertise to this book, drawing from his work in building predictive models for the world's largest retailers. Encompassing 15 crucial concepts, this book covers a spectrum of mathematical techniques to help you understand a vast range of data science algorithms and applications. Starting with essential foundational concepts, such as random variables and probability distributions, you’ll learn why data varies, and explore matrices and linear algebra to transform that data. Building upon this foundation, the book spans general intermediate concepts, such as model complexity and network analysis, as well as advanced concepts such as kernel-based learning and information theory. Each concept is illustrated with Python code snippets demonstrating their practical application to solve problems. By the end of the book, you’ll have the confidence to apply key mathematical concepts to your data science challenges.

Who is this book for?

This book is for data scientists, machine learning engineers, and data analysts who already use data science tools and libraries but want to learn more about the underlying math. Whether you’re looking to build upon the math you already know, or need insights into when and how to adopt tools and libraries to your data science problem, this book is for you. Organized into essential, general, and selected concepts, this book is for both practitioners just starting out on their data science journey and experienced data scientists.

What you will learn

Master foundational concepts that underpin all data science applications

Use advanced techniques to elevate your data science proficiency

Apply data science concepts to solve real-world data science challenges

Implement the NumPy, SciPy, and scikit-learn concepts in Python

Build predictive machine learning models with mathematical concepts

Gain expertise in Bayesian non-parametric methods for advanced probabilistic modeling

Acquire mathematical skills tailored for time-series and network data types

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Colour book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

€22.99 ~~€33.99~~

€30.99 ~~€44.99~~

15 Math Concepts Every Data Scientist Should Know

€22.99 ~~€33.99~~

Total € 76.97 112.97 36.00 saved

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 [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

Filter reviews by

All

Feefo verified reviews

Amazon verified reviews

Pablo Cepeda Oct 26, 2024

Nice book

Feefo Verified review

Amazon Customer Sep 22, 2024

The book is structured around 15 crucial concepts that form the bedrock of data science. From the very beginning, readers are introduced to foundational topics like random variables and probability distributions. Hoyle's clear explanations help readers grasp why data varies, setting a solid groundwork for the more complex ideas that follow. The transition into matrices and linear algebra is seamless, making complex mathematical concepts accessible even to those who may not have a strong math background.The progression from essential to advanced topics — such as kernel methods, information theory, and Bayesian non-parametric methods — is methodical and well-paced. The inclusion of topics like time series forecasting and network analysis further enriches the book, catering to a diverse range of interests within the data science community.Overall, this book is a significant contribution to the field of data science literature. It not only elucidates the mathematical principles that underpin various algorithms but also empowers readers to become more proficient in applying these concepts to real-world scenarios. For anyone serious about mastering data science, Hoyle’s work is a must-read, offering a blend of theory and practice that is sure to enhance your analytical capabilities.

Amazon Verified review

Gabriel Preda Sep 27, 2024

If you got here, you are planning probably to buy and read this book. Which will be an excellent idea, because is giving you the best value for money for this type of books. Let's see why the book structure, its content quality, the quality of printing, all are providing good reasons to do it.Structure: The book is structured in three parts, covering concepts gradually increasing in difficulty, from basic and introductory notions to intermediate and advanced. In the first part the basic principles in random numbers and probability distribution, matrices and linear algebra, loss functions, optimisation, probabilistic modeling are covered. In the second part, the book will tackle time series and forecasting, hypothesis testing, and model complexity, followed by function decomposition, and network analysis. In the last part, the more advanced topics of dynamical systems, kernel methods, information theory, non-parametric Bayesian methods and random matrices are covered.Content quality: The author is a former university professor and you can see that in the consistency of the material he included, as well as in the clear explanations of the notions, so that you can keep pace not only with the introductory chapters but also with the most advanced ones. The book is well documented, the notations are carefully edited, the narative is clear and easy to follow. This easiness to follow the content is supported by the author’s choice to add summaries, example, and further reading recommendations, depending on what is adequate in the specific case, to the end of each chapter. This helps the reader to crystallise his recently learned topics.Typography: When you read this book, you enjoy not only the quality of the content and the way that the author explains rather complex notions so that you can follow, but also the quality of the typography. A beautiful font (I read it on a paperback copy), with clear tables and beautifully rendered images, in color (which for a technical book, especially when graph are presented, is a very useful feature).Summary: An easy to read, well documented, highly recommended reference for those of you that takes seriously the Data Science specialisation. And an excellent introduction in the basic tools for the Data Scientist.

Steven Fernandes Sep 12, 2024

Title: Elevate Your Data Science Skills: A Comprehensive GuideReview:This book is a comprehensive toolkit for anyone looking to deepen their data science expertise. It covers foundational concepts and advanced techniques, using real-world challenges to illustrate the application of theories. Practical implementations using Python libraries like NumPy, SciPy, and sci-kit-learn are detailed, alongside guidance on building predictive models and mastering Bayesian methods. It’s especially valuable for those interested in time series and network data. A must-have for aspiring and seasoned data scientists alike.

Sai Kumar Bysani Oct 18, 2024

The book encompasses a wide array of mathematical concepts essential for data science, including:1. 𝐑𝐚𝐧𝐝𝐨𝐦 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 & 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧𝐬: Understanding the foundations of randomness and how different distributions impact data interpretation.2. 𝐋𝐢𝐧𝐞𝐚𝐫 𝐀𝐥𝐠𝐞𝐛𝐫𝐚: Key concepts like matrices and vectors that form the backbone of many algorithms used in machine learning and data analysis.3. 𝐋𝐨𝐬𝐬 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Insight into how these elements are crucial for training models and making predictions.4. 𝐏𝐫𝐨𝐛𝐚𝐛𝐢𝐥𝐢𝐬𝐭𝐢𝐜 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠: Techniques for making inferences and predictions based on observed data.5. 𝐇𝐲𝐩𝐨𝐭𝐡𝐞𝐬𝐢𝐬 𝐓𝐞𝐬𝐭𝐢𝐧𝐠: A fundamental aspect of data science that helps in validating assumptions and claims based on data.6. 𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Methods for analyzing data points collected or recorded at specific time intervals, essential for forecasting....and many more important math concepts!I like how the book combines theory with practical application, providing Python code snippets that help readers see how these concepts are applied in real-world scenarios. This practical focus makes the book particularly beneficial for those who learn best by doing.Whether you’re new to data science or looking to sharpen your skills, this book serves as a solid reference guide and a stepping stone to deeper understanding. It encourages readers to not only grasp the math but to apply it effectively in their data science projects.In conclusion, if you're looking to enhance your mathematical toolkit and elevate your data science skills, I highly recommend picking up this book. It’s a great addition to any data scientist’s library and a fantastic resource for professional growth.

15 Math Concepts Every Data Scientist Should Know: Understand and learn how to apply the math behind data science algorithms

What do you get with Print?