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English | October 26, 2024 | ISBN: N/A | ASIN: B0DL3ZZC2S | 425 pages | PDF | 1.60 Mb
"Database Design with SQL: Building Fast and Reliable Systems" is an essential resource for beginners eager to master the fundamentals of database management and SQL. This comprehensive guide demystifies the core principles of database systems, providing readers with the knowledge to design efficient data architectures and execute complex SQL operations. Covering everything from basic data structures to advanced query optimization, the book equips learners with the crucial skills needed to build and manipulate robust databases that meet modern demands.

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English | August 27, 2024 | ISBN: 139861629X | 248 pages | MOBI | 1.85 Mb
How can I use insights from people data to develop an inclusive, engaged, high-performing workforce? What data is available and how do I collect it ethically?

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English | February 29, 2024 | ISBN: 1804618128 | 378 pages | PDF | 6.01 Mb
Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python

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English | February 29, 2024 | ISBN: 1835468551 | 458 pages | EPUB | 4.91 Mb
Explore the C++ 23 STL with practical guidance on vectors, algorithms, and custom types for intermediate developers, enriched by real-world examples.Key FeaturesMaster the std:: vector and understand why it should be your default container of choiceUnderstand each STL algorithm and its practical applicationsGain insights into advanced topics such as exception guarantees and thread safetyPurchase of the print or Kindle book includes a free PDF eBookBook Description

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English | 2025 | ASIN : B0DXV3LCCC | 278 Pages | PDF EPUB | 9 MB
"Dive into the Heart of Pythonic Algorithms and Data Structures" offers a comprehensive guide designed to empower both beginners and seasoned developers. Whether you're mastering the foundations of computer science or enhancing your problem-solving skills, this book provides a roadmap through the intricacies of efficient data organization and algorithmic prowess.

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English | 2025 | ISBN: 303168141X | 141 Pages | PDF (True) | 18 MB
Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:

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English | 2025 | ISBN: 9819783356 | 654 Pages | PDF EPUB (True) | 70 MB
This book includes research papers presented at the International Conference on Data Science and Network Engineering (ICDSNE 2024) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, Tripura, India, during July 12-13, 2024. It includes research works from researchers, academicians, business executives, and industry professionals for solving real-life problems by using the advancements and applications of data science and network engineering. This book covers many advanced topics, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), computer networks, blockchain, security and privacy, Internet of things (IoT), cloud computing, big data, supply chain management, and many more. Different sections of this book are highly beneficial for the researchers, who are working in the field of data science and network engineering.

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Dl4All - Download free For All: software and educational resource.

Database Design with SQL Building Fast and Reliable Systems

Data–Driven Talent Management Using Analytics to Improve Employee Experience

Data–Centric Machine Learning with Python The ultimate guide to engineering and deploying high–quality models based

Data Structures and Algorithms with the C++ STL A guide for modern C++ practitioners

Data Structures and Algorithms with Python

Data Science in Engineering Vol. 10

Data Science from Scratch A Complete Beginner's Guide to Mastering Analytics

Data Science for Political Campaigns Winning with Analytics. Python, Excel & R Reactive Publishing

Data Science e Machine Learning – Seconda Edizione

Data Science and Network Engineering