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Key benefits

Learn the techniques you need to know to design algorithms for solving complex problems

Become familiar with neural networks and deep learning techniques

Explore different types of algorithms and choose the right data structures for their optimal implementation

Description

Algorithms have always played an important role in both the science and practice of computing. Beyond traditional computing, the ability to use algorithms to solve real-world problems is an important skill that any developer or programmer must have. This book will help you not only to develop the skills to select and use an algorithm to solve real-world problems 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, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. 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 book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.

Who is this book for?

This book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. Whether you are a beginner looking to learn the most commonly used algorithms in a clear and concise way or an experienced programmer looking to explore cutting-edge algorithms in data science, machine learning, and cryptography, you'll find this book useful. Although Python programming experience is a must, knowledge of data science will be helpful but not necessary.

What you will learn

Explore existing data structures and algorithms found in Python libraries

Implement graph algorithms for fraud detection using network analysis

Work with machine learning algorithms to cluster similar tweets and process Twitter data in real time

Predict the weather using supervised learning algorithms

Use neural networks for object detection

Create a recommendation engine that suggests relevant movies to subscribers

Implement foolproof security using symmetric and asymmetric encryption on Google Cloud Platform (GCP)

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

AI Assistant (beta) to help accelerate your learning

Frequently bought together

40 Algorithms Every Programmer Should Know

₹3872.99

₹4319.99

Machine Learning for Algorithmic Trading

₹4319.99

Total ₹ 12,512.97

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Amazon verified reviews

Vitaliy Nov 21, 2023

You don't know how to teach... adpost.news founder Whytell Don.

Subscriber review

NHJFromSH Feb 23, 2021

For analytical professionals, this is a good reference book to use which aligns the use cases in different business areas and proper algorithms.

Amazon Verified review

Ivan and Zorro Mar 22, 2021

Easy enough for beginning programmers to use and digest. This book is well and clearly written. There is some traditional algorithm coverage, but the main focus is on writing machine learning algorithms. Starts at the beginning and assumes no knowledge of Python, although familiarity with a programming language will help it doesn’t have to be Python. I guess if you are new to Python though you will quickly fall in love. While there is something to be said of language agnostic algorithm, it is nice to have discussion and implantation in the same book and in a modern language.

Kindle Customer May 17, 2021

This book is true to its name and has so many algorithms and presents them well. It beats any data science text in presenting them as well (even though the theory of data science is not presented in whole in this book). I would call this book both practical and meaningful for anyone wishing to use python for any purpose. Excellent book, well-written, well-presented, and easy to learn from.

RT Jul 30, 2020

Who the book is aimed at: if you self-identify as a data scientist, serious algorithms specialist, or even the quant type, then you won’t be disappointed! If you’re just starting in the field, the author has done the hard work of selecting some of the commonly used techniques & algorithms in the field today.The content’s breadth and depth is masterfully selected, it won’t disappoint!Style & Language: easy to read plain english; the book does have a strong Python flavour (v3.7+), but even R-focused practitioners will likely find some of the content rewarding.Examples: the diagrams/figures convey the basic ideas very well, and the author has also setup a live git repo, and it seems he does plan to keep it updated.PS. Having just started this book review, it’s is a work-in-progress, I’ll update as I go through more chapters.

40 Algorithms Every Programmer Should Know: Hone your problem-solving skills by learning different algorithms and their implementation in Python

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