What do you get with Print?

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

Colour book shipped to your preferred address

Redeem a companion digital copy on all Print orders

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

Gain a profound understanding of various mathematical models that can be integrated with machine learning

Learn how to implement optimization algorithms to tune machine learning models

Build optimal solutions for practical use cases

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

Description

Mathematical modeling is the art of transforming a business problem into a well-defined mathematical formulation. Its emphasis on interpretability is particularly crucial when deploying a model to support high-stake decisions in sensitive sectors like pharmaceuticals and healthcare. Through this book, you’ll gain a firm grasp of the foundational mathematics underpinning various machine learning algorithms. Equipped with this knowledge, you can modify algorithms to suit your business problem. Starting with the basic theory and concepts of mathematical modeling, you’ll explore an array of mathematical tools that will empower you to extract insights and understand the data better, which in turn will aid in making optimal, data-driven decisions. The book allows you to explore mathematical optimization and its wide range of applications, and concludes by highlighting the synergetic value derived from blending mathematical models with machine learning. Ultimately, you’ll be able to apply everything you’ve learned to choose the most fitting methodologies for the business problems you encounter.

Who is this book for?

If you are a budding data scientist seeking to augment your journey with mathematics, this book is for you. Researchers and R&D scientists will also be able to harness the concepts covered to their full potential. To make the best use of this book, a background in linear algebra, differential equations, basics of statistics, data types, data structures, and numerical algorithms will be useful.

What you will learn

Understand core concepts of mathematical models and their relevance in solving problems

Explore various approaches to modeling and learning using Python

Work with tested mathematical tools to gather meaningful insights

Blend mathematical modeling with machine learning to find optimal solutions to business problems

Optimize ML models built with business data, apply them to understand their impact on the business, and address critical questions

Apply mathematical optimization for data-scarce problems where the objective and constraints are known

What do you get with Print?

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

Colour book shipped to your preferred address

Redeem a companion digital copy on all Print orders

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

Causal Inference and Discovery in Python

€29.99

A Handbook of Mathematical Models with Python

€37.99

€37.99

Total € 105.97

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

Filter reviews by

All

Amazon verified reviews

Om S Sep 10, 2023

The book begins by introducing the concept of mathematical modeling and its significance in solving practical problems. It then takes readers through a journey of various mathematical models and demonstrates how Python can be used as a tool to implement and work with these models effectively.One of the book's strengths is its emphasis on hands-on learning. It provides practical examples and exercises that allow readers to apply mathematical models to real-life scenarios. This hands-on approach not only enhances understanding but also equips readers with valuable problem-solving skills.Throughout the book, readers will explore a wide range of mathematical concepts and their applications, from basic principles to more advanced topics. The book also covers optimization techniques, which are essential for finding the best solutions to complex problems.Whether you are a student looking to learn mathematical modeling or a professional seeking to apply these techniques in your work, this book provides a solid foundation. It is written in a clear and accessible manner, making it suitable for readers with various levels of mathematical and programming expertise.In conclusion, "A Handbook of Mathematical Models with Python" is a practical and user-friendly guide that demystifies mathematical modeling and demonstrates how to implement it using Python. It is a valuable resource for anyone looking to enhance their problem-solving skills and apply mathematics to real-world challenges.

Amazon Verified review

Kumar Abhishek Dec 30, 2023

This book is a concise, 100-page guide that provides a quick yet insightful overview of mathematical models and their connection to machine learning. As a senior machine learning engineer, I found this book to be a helpful introduction for those who are beginning their journey in data science or those who feel lacking in math knowledge. It effectively links fundamental mathematical concepts with Python applications in machine learning, offering practical examples and use cases. While the book is an excellent starting point for understanding the interplay between math and machine learning, it's important to note that it doesn't delve into deep technical details. For readers seeking in-depth mathematical explanations, I would recommend more mathematically intensive books. Nevertheless, for a clear, introductory understanding of how mathematics underpins machine learning algorithms, Dr. Sarkar's book is a valuable and accessible resource.

Greg Phillips Feb 06, 2024

This is an excellent book to get you started on the path towards a better understanding of the math underpinning Machine Learning as implemented with Python. Reading is time well spent.

Rahul Bahadur Oct 09, 2023

While most ML books delve straight into applications, this book describes, in detail, what goes on mathematically under the hood - without being overwhelming. It starts with describing some of the most common algorithms that any Data Scientist/Statistician uses (like PCA, SVM, Linear regression, neural-nets) and their applications. Later it also describes MCMC chains, Kalman filters etc. along with graph optimizations (travelling salesperson).One of the most common mistake that a data scientist does is treating everything as an ML prediction problem. This book talks about scenarios where one would apply linear programming (PuLP), network modelling etc. to come up with the correct solution.Each chapter has plenty of follow along example in python using commonly available libraries. The author also mentions a lot of great online resources if you want to delve further into any topic.All in all this is a great quick read if you are looking to refresh your understanding or even starting to explore what all methods should exists in your problem solving toolbox.

H2N Nov 16, 2023

This book is an essential resource for data scientists and R&D professionals, offering a practical approach to mathematical modeling in Python. It's ideal for those familiar with differential equations, linear algebra, and statistics, blending machine learning with classical models. Covering PCA, Gradient Descent, SVMs, and more, it excels in explaining data classification and reduction. Additionally, it touches on Graph Theory, Kalman Filter, and Markov Chains, culminating in strategies for optimizing machine learning models. While concise, it leaves readers anticipating a more in-depth exploration in future editions.

A Handbook of Mathematical Models with Python: Elevate your machine learning projects with NetworkX, PuLP, and linalg

What do you get with Print?