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Mastering Search Algorithms with Python: A practical guide for efficient data search by Pooja Baraskar at Abbey's Bookshop,
Mastering Search Algorithms with Python: A practical guide for efficient data search
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Pooja Baraskar Abhishek Nandy

Mastering Search Algorithms with Python

A practical guide for efficient data search

Pooja Baraskar,  Abhishek Nandy

$86.95   $73.87

Paperback

Not in-store but you can order this
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English
BPB Publications
20 July 2024
Computing & IT
In today's era of Artificial Intelligence and the vast expanse of big data, understanding how to effectively utilize search algorithms has become crucial. Every day, billions of searches happen online, influencing everything from social media recommendations to critical decisions in fields like finance and healthcare. Behind these seemingly straightforward searches are powerful algorithms that determine how information is discovered, organized, and applied, fundamentally shaping our digital interactions. This book covers various search algorithms, starting with linear and binary searches, analyzing their performance, and implementing them in Python. It progresses to graph traversal algorithms like DFS and BFS, including Python examples and explores the A
* algorithm for optimal pathfinding. Advanced search techniques and optimization best practices are discussed, along with neural network applications like gradient descent.
By:  
Other:  
Imprint:   BPB Publications
Dimensions:   Height: 235mm,  Width: 191mm, 
ISBN:   9789355516244
ISBN 10:   935551624X
Pages:   340
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

Pooja Baraskar is an accomplished software engineer, inventor, and technical author with over a decade of experience in the tech industry. Currently, Pooja is leading developer programs at Intel worldwide, including the Global Intel® Software Innovator Program. Abhishek Nandy is the Chief of AI at PrediQt Business Solution, spearheading the development of cutting-edge AI tools tailored for diverse client needs.

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