50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography, Second Edition
50 Algorithms Every Programmer Should Know - Second Edition
Fundamentals and Core Algorithms
This section introduces the core aspects of algorithms. We will explore what an algorithm is and how to design one. We will also learn about the data structures used in algorithms. This section also introduces sorting and searching algorithms along with algorithms to solve graphical problems. The chapters included in this section are:
Familiarize yourself with advanced deep learning architectures
Explore newer topics, such as handling hidden bias in data and algorithm explainability
Get to grips with different programming algorithms and choose the right data structures for their optimal implementation
Description
The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works.
You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them.
Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use.
You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT.
Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.
By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.
What you will learn
Design algorithms for solving complex problems
Become familiar with neural networks and deep learning techniques
Explore existing data structures and algorithms found in Python libraries
Implement graph algorithms for fraud detection using network analysis
Delve into state-of-the-art algorithms for proficient Natural Language Processing illustrated with real-world examples
Create a recommendation engine that suggests relevant movies to subscribers
Grasp the concepts of sequential machine learning models and their foundational role in the development of cutting-edge LLMs
What do you get with eBook?
Instant access to your Digital eBook purchase
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
Causal Inference and Discovery in Python: Unlock the secrets of modern causal machine learning with DoWhy, EconML, PyTorch and more
May 2023456
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
Feb 2022774
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, Second Edition
Jul 2020822
Mastering Microsoft Power BI – Second Edition: Expert techniques to create interactive insights for effective data analytics and business intelligence, Second Edition
Jun 2022712
Microsoft Power BI Quick Start Guide: The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more, Third Edition
Nov 2022330
Machine Learning Engineering with Python: Manage the lifecycle of machine learning models using MLOps with practical examples, Second Edition
Aug 2023462
The AI Product Manager's Handbook: Develop a product that takes advantage of machine learning to solve AI problems
Feb 2023250
Et al.: Because not all research deserves a Nobel Prize
Aug 2023230
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, Third Edition
Dec 2019772
Data Modeling with Snowflake: A practical guide to accelerating Snowflake development using universal data modeling techniques
May 2023324
Customer reviews
Filter
Rating distribution
4
(5 Ratings)
5 star60%
4 star20%
3 star0%
2 star0%
1 star20%
Sandra Patricia Bermudez KasperczakFeb 22, 2024
5
Feefo Verified review
N/AFeb 21, 2024
5
Feefo Verified review
N/AFeb 19, 2024
5
Feefo Verified review
Kevin KillionFeb 15, 2024
1
The TITLE of this item is very misleading. It SHOULD be titled, ""50 Algorithms Every PYTHON Programmer Should Know".
Plus, the files in the sample code are unreadable.
Here is what I wrote to you previously:
It's only ten bucks, but this is a big disappointment so far. I've been programming since about 1971,and have built and sold many projects. But I saw a few topics in the ebook "50 Algorithms Every Programmer Should Know" that I wanted to know more about, so I purchased it just now. 1) NOWHERE in the promo email or web page was there a warning that the sample code in this was in Python. That alone would have killed my interest in buying it. 2) I eventually figured out how to download the sample code as a single ZIP. However, none of my tools are coping with whatever this code uses for line endings. BBEdit can usually deal with anything but all I get is a single line, even after switching line ending settings. SKEdit, TextEdit and even Word fail as well. Is it some kind of mystical Python format????? It's only ten bucks, but still what a waste. Kevin Killion
Feefo Verified review
Kam F SiuJan 30, 2024
4
Feefo Verified review
People who bought this also bought
5 Items
Mastering Ubuntu Server: Explore the versatile, powerful Linux Server distribution Ubuntu 22.04 with this comprehensive guide, Fourth Edition
Sep 2022584
Mastering Ansible, 4th Edition: Automate configuration management and overcome deployment challenges with Ansible, Fourth Edition
Dec 2021540
Enterprise DevOps for Architects: Leverage AIOps and DevSecOps for secure digital transformation
Nov 2021288
Ansible for Real-Life Automation: A complete Ansible handbook filled with practical IT automation use cases
Sep 2022480
Kubernetes – An Enterprise Guide: Effectively containerize applications, integrate enterprise systems, and scale applications in your enterprise, Second Edition
Imran Ahmad is a certified Google Instructor who has been teaching for Google and Learning Tree for the last many years. Imran completed his PhD in 2009 in which he proposed an AI used to develop intelligent clouds for Sudbury Neutrino Observatory. Since 2005 Imran is working in a high-profile machine learning project at the Advanced Analytics Lab of the Canadian Federal Government. The project is to develop machine learning algorithms that can automate the process of immigration. Currently Imran is also doing research on semi-supervised learning and edge computing
Where there is an eBook version of a title available, you can buy it from the book details for that title. Add either the standalone eBook or the eBook and print book bundle to your shopping cart. Your eBook will show in your cart as a product on its own. After completing checkout and payment in the normal way, you will receive your receipt on the screen containing a link to a personalised PDF download file. This link will remain active for 30 days. You can download backup copies of the file by logging in to your account at any time.
If you already have Adobe reader installed, then clicking on the link will download and open the PDF file directly. If you don't, then save the PDF file on your machine and download the Reader to view it.
Please Note: Packt eBooks are non-returnable and non-refundable.
Packt eBook and Licensing When you buy an eBook from Packt Publishing, completing your purchase means you accept the terms of our licence agreement. Please read the full text of the agreement. In it we have tried to balance the need for the ebook to be usable for you the reader with our needs to protect the rights of us as Publishers and of our authors. In summary, the agreement says:
You may make copies of your eBook for your own use onto any machine
You may not pass copies of the eBook on to anyone else
How can I make a purchase on your website?
If you want to purchase a video course, eBook or Bundle (Print+eBook) please follow below steps:
Register on our website using your email address and the password.
Search for the title by name or ISBN using the search option.
Select the title you want to purchase.
Choose the format you wish to purchase the title in; if you order the Print Book, you get a free eBook copy of the same title.
Proceed with the checkout process (payment to be made using Credit Card, Debit Cart, or PayPal)
Where can I access support around an eBook?
If you experience a problem with using or installing Adobe Reader, the contact Adobe directly.
To view the errata for the book, see www.packtpub.com/support and view the pages for the title you have.
To view your account details or to download a new copy of the book go to www.packtpub.com/account
Our eBooks are currently available in a variety of formats such as PDF and ePubs. In the future, this may well change with trends and development in technology, but please note that our PDFs are not Adobe eBook Reader format, which has greater restrictions on security.
You will need to use Adobe Reader v9 or later in order to read Packt's PDF eBooks.
What are the benefits of eBooks?
You can get the information you need immediately
You can easily take them with you on a laptop
You can download them an unlimited number of times
You can print them out
They are copy-paste enabled
They are searchable
There is no password protection
They are lower price than print
They save resources and space
What is an eBook?
Packt eBooks are a complete electronic version of the print edition, available in PDF and ePub formats. Every piece of content down to the page numbering is the same. Because we save the costs of printing and shipping the book to you, we are able to offer eBooks at a lower cost than print editions.
When you have purchased an eBook, simply login to your account and click on the link in Your Download Area. We recommend you saving the file to your hard drive before opening it.
For optimal viewing of our eBooks, we recommend you download and install the free Adobe Reader version 9.