What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

Subscribe now

View plans & pricing

Key benefits

Apply the math of countable objects to practical problems in computer science

Explore modern Python libraries such as scikit-learn, NumPy, and SciPy for performing mathematics

Learn complex statistical and mathematical concepts with the help of hands-on examples and expert guidance

Description

Discrete mathematics deals with studying countable, distinct elements, and its principles are widely used in building algorithms for computer science and data science. The knowledge of discrete math concepts will help you understand the algorithms, binary, and general mathematics that sit at the core of data-driven tasks. Practical Discrete Mathematics is a comprehensive introduction for those who are new to the mathematics of countable objects. This book will help you get up to speed with using discrete math principles to take your computer science skills to a more advanced level. As you learn the language of discrete mathematics, you’ll also cover methods crucial to studying and describing computer science and machine learning objects and algorithms. The chapters that follow will guide you through how memory and CPUs work. In addition to this, you’ll understand how to analyze data for useful patterns, before finally exploring how to apply math concepts in network routing, web searching, and data science. By the end of this book, you’ll have a deeper understanding of discrete math and its applications in computer science, and be ready to work on real-world algorithm development and machine learning.

Who is this book for?

This book is for computer scientists looking to expand their knowledge of discrete math, the core topic of their field. University students looking to get hands-on with computer science, mathematics, statistics, engineering, or related disciplines will also find this book useful. Basic Python programming skills and knowledge of elementary real-number algebra are required to get started with this book.

What you will learn

Understand the terminology and methods in discrete math and their usage in algorithms and data problems

Use Boolean algebra in formal logic and elementary control structures

Implement combinatorics to measure computational complexity and manage memory allocation

Use random variables, calculate descriptive statistics, and find average-case computational complexity

Solve graph problems involved in routing, pathfinding, and graph searches, such as depth-first search

Perform ML tasks such as data visualization, regression, and dimensionality reduction

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

Subscribe now

View plans & pricing

Frequently bought together

€49.99

€37.99

€32.99

Total € 120.97

FAQs

What is included in a Packt subscription?

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription?

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits?

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled?

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title?

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team.

Can I download the code files for Early Access titles?

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date?

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready?

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access?

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered?

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content?

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access?

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.

Filter reviews by

All

Amazon verified reviews

amazon222 Mar 28, 2021

I am a 40+ year old software guy, when i ordered it i did it because it said "practical" :) i was still afraid it would just be a book of x's & y's & fancy notations akin to hieroglyphics better suited to CS grads :)Boy was it a surprise.A fantastic perspective on how all the x's & y's have practical use & was just superb.Even though i do own a few CS & algo books this gave me a different insight to stuff i already knew.Kudo to the authors.Superb.

Amazon Verified review

Ryan Zurrin Jun 03, 2021

I love this book, I’ll be taking discrete math over the summer and wanted to get a jump start on the subject. I usually use khan academy but seems they didn’t have a dedicated section on this subject I needed to find another way to get introduced to this stuff and this book, with examples in python, has really been great for me. If you don’t have any experience in things like Boolean algebra or logic it may be a bit confusing at first, but if you already got a bit of a foundation in these things this book will be a breeze.

MLEngineer Mar 28, 2021

Disclaimer: The publisher asked me if I would review the book.This is a good book in regards to thinking in a mathematical away about ML & AI. Practically, there is a lot of mathematical and programming work to do in regards to ML & AI. For Computer Scientists: it is a nice introduction to continuous spaces and algorithms on those spaces. For the mathematically inclined: it is a nice introduction on how to pragmatically apply math to in-demand ML.I myself have a math-physics degree and have been an ML Engineer the last few years. This is a great book reconciling CS/Math perspectives.

MLE PINON OLIVIA Apr 05, 2021

This book presents, through clear, concise and real world examples, key principles of discrete mathematics, making it a must read for practitioners looking to solve practical problems in computer and data sciences. This book is well-organized, allowing the reader to quickly grasp key concepts and test them out using the provided Python examples. Well done!

Anirudh P Bhat Feb 22, 2021

This book covers the basics of discrete mathematics which opens avenues to broader computing projects. As an initiate in the study of computer science, I always believed that the mathematics of the "continuous element" was the most interesting part of engineering analysis. Apart from the necessary introduction to the notions of discrete probability, elementary theory of counting, the theory of graphs, and other additional topics, I did not give it the importance that it had. And this book showed me how wrong I was, because it is a special book for those who decide to learn the discipline in a self-taught way.The way of explaining the topics is very clear, concise, rigorous. In particular, combinatorial analysis and graph theory are presented in a way that satisfies the awake reader. The entire book is presented as separate units and is very enjoyable for anyone who wants to take this discipline seriously. It is an excellent introduction to the subject, a preamble to further studies of algorithms and computation.

Practical Discrete Mathematics: Discover math principles that fuel algorithms for computer science and machine learning with Python

What do you get with a Packt Subscription?