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Free Download Data-Driven Recruiting: Wie Machine Learning das Matching von Arbeitnehmern und Arbeitgebern optimiert
Deutsch | 28. Januar 2025 | ASIN: B0DVCG9JCD | 68 Seiten | Epub | 3.82 MB
In Zeiten, in denen Online-Jobbörsen und globale Vernetzung für eine Flut von Stellenanzeigen und Bewerberprofilen sorgen, bietet dieses Werk einen umfassenden Einblick in neue KI-Methoden, die den gesamten Rekrutierungsprozess effizienter gestalten. Autor Benjamin Liebel zeigt, wie moderne Algorithmen und insbesondere Large Language Models (LLMs) eingesetzt werden können, um aus großen Datenmengen automatisiert die passenden Übereinstimmungen zwischen Arbeitgebern und Arbeitnehmern abzuleiten. Zentrale Themen und Inhalte Transformer-Architekturen und NLP : Eine der Kernfragen besteht darin, wie man mithilfe von Text-Embeddings und semantischer Analyse ein tieferes Verständnis für Stellenanzeigen und Lebensläufe entwickelt. Dabei kommen moderne Techniken zum Einsatz, die den Inhalt von Texten kontextbezogen erfassen und bewerten. Methoden und Vorgehensweisen : Neben klassischen Verfahren wie TF-IDF oder Levenshtein-Distanz geht das Buch ausführlich auf fortgeschrittene Ansätze ein, etwa die Arbeit mit vortrainierten LLMs, unüberwachten und semi-überwachten Lernverfahren sowie Hybrid-Modellen zur Empfehlung von geeigneten Jobangeboten. Praktische Umsetzungen : Am Beispiel von realen und synthetisch erweiterten Datensätzen werden konkrete Implementierungsschritte beschrieben. Dabei kommt unter anderem Web-Scraping zum Tragen, um aktuelle Stellenangebote zu erfassen, die anschließend mithilfe von KI-Algorithmen ausgewertet werden. Beispiele zur Integration in Cloud-Services (z. B. Microsoft Azure) demonstrieren, wie solche Systeme skaliert und im Unternehmensumfeld sicher bereitgestellt werden können. Qualitätssicherung und Validierung : Ein weiteres Augenmerk liegt auf der statistischen Absicherung der Resultate. Manuelle Stichprobenvalidierungen stellen sicher, dass die maschinellen Vorhersagen möglichst nah an realen Bewertungskriterien liegen und gleichzeitig typische KI-Probleme wie Halluzinationen minimiert werden.

Free Download Data-Driven Decisions: An Introduction to Machine Learning
English | 2024 | ISBN: 9798230822387 | 230 pages | MOBI | 3.50 Mb
Data-Driven Decisions: An Introduction to Machine Learning provides a comprehensive and accessible introduction to the principles and applications of machine learning for students, professionals, and decision-makers. Combining theoretical foundations with practical examples, this book guides readers through key concepts such as supervised and unsupervised learning, feature engineering, model evaluation, and interpretability. With a focus on how machine learning drives informed, data-driven decision-making across industries, the text balances technical depth with clarity. Through case studies, hands-on exercises, and discussions on ethical considerations, this book equips readers with the tools to apply machine learning effectively in solving real-world problems.

Free Download Data-Centric Business and Applications: Advancements in Information and Knowledge Management
English | September 29, 2024 | ISBN: 3031608143 | 393 pages | MOBI | 8.28 Mb
Embark on a journey into the future of business with a groundbreaking book that explores the dynamic interplay between data and business, unlocking its transformative power in strategy, decision-making, and application development. Dive deep into cutting-edge topics such as data governance, analytics, knowledge discovery, and AI, and gain an in-depth understanding of managing, analyzing, and extracting insights from complex data sets. This book's holistic approach sets this book apart, seamlessly integrating the latest information and knowledge management concepts. From integrating data-centric approaches into business models to addressing considerations in data-driven decisions, the diverse topics covered will provide invaluable insights into the central role of data in shaping the future of business and applications. This book sheds light on the ongoing advances in structural management, demonstrating how previously understood knowledge, technologies, and data can pave the way for sustainable solutions in the face of innovation, meet insight, and allow businesses to thrive in the digital age.

Free Download Data Structures and Algorithms Essentials You Always Wanted to Know: Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples (Self-Learning Management Series)
English | December 23, 2025 | ASIN: B0FRM1FMP2 | 406 pages | EPUB (True) | 6.96 MB
Master Python, Recursion, Dynamic Programming, and Greedy Algorithms With Hands-On Examples. Learn the core data structures and algorithms for optimized Python coding. Master Data Structures and Algorithms with Python - From Foundations to Real-World Applications Are you ready to take your Python coding to the next level? Data Structures and Algorithms Essentials You Always Wanted to Know is a practical, hands-on guide for self-taught programmers and junior developers who want to write smarter, faster, and more efficient code. Instead of drowning you in theory, Shawn Peters-an educator with nearly 20 years of experience-makes complex topics simple through clear explanations and real-world examples. From arrays, stacks, and queues to advanced structures like trees and graphs , this book helps you bridge the gap between simply knowing Python syntax and truly mastering the logic behind scalable, efficient applications. Key concepts such as dynamic programming , recursion , and graph algorithms are explained in a straightforward manner, with exercises to help reinforce your understanding. Inside, you'll discover how to: Analyze code performance with Big O, Omega, and Theta notations Write clean, reliable recursive functions for complex problems Master arrays, linked lists, trees, graphs, and hash tables Apply dynamic programming and greedy algorithms to real-world coding challenges By the end, you'll not only understand the fundamentals of data structures and algorithms with Python -you'll also know how to apply them to real-world projects, optimize your code, and build solutions that scale. Whether your goal is to solidify your foundation in data structures , prepare for technical interviews , or understand how to solve problems with Python algorithms , this book guides you every step of the way. Take your programming skills to the next level and become a confident, capable problem-solver.

Free Download Data Storytelling for Business Decisions: A Practical Guide to Data Visualisation and Storytelling for Data and Business Analysts (Learn Practical Data ... and Storytelling for Better Decisions)
English | December 23, 2025 | ASIN: B0GC1VS4MX | 393 pages | Epub | 11.90 MB
"Data is everywhere, but only the stories you tell with it get noticed-and remembered." In Data Storytelling for Business Decisions, I show you how to transform raw numbers into clear, persuasive stories that decision-makers actually remember. Drawing on lessons from data analysis, visualization, storytelling, and design, this book gives you a practical framework to connect data with human decision-making. Inside this book, you'll learn how to: Craft powerful hooks that capture attention and make your insights memorable Turn business challenges into clear, decision-focused questions that guide your analysis and drive results. Transform raw data into meaningful insights your audience can easily understand and act on. Choose the perfect chart for trends, comparisons, distributions, and trade-offs. Design visuals that are honest, clear, and impactful, avoiding misleading or confusing graphs. Use color, layout, and hierarchy strategically to highlight what truly matters. Structure compelling data stories using proven storytelling frameworks for maximum clarity. Write titles, annotations, and narratives that explain-not overwhelm-even complex insights. Communicate uncertainty, risk, and trade-offs responsibly, building credibility and trust. Decide when to use dashboards and when to tell a focused data story to influence decisions. Present insights confidently in reports, presentations, and executive briefings, ensuring your data leads to action. Go from analyst to influencer by delivering insights that inspire action and drive decisions With examples, templates, and exercises, you'll learn how to connect the dots between data, visualization, and narrative-the three pillars of effective communication. Unlike many books that focus only on visualization techniques, Data Storytelling for Business Decisions places decision-making at the center of every chart, story, and explanation. You will learn not just how to show data, but how to align insights with business goals, stakeholder needs, and organizational context. Who this book is for: Data analysts and business analysts Managers and decision-makers who work with data Professionals who create reports, dashboards, or presentations Anyone who wants to communicate insights clearly and credibly Data alone doesn't change minds. Stories and effective visualization do. This book shows you how to turn data into decisions, communicate with clarity, and influence outcomes at every level of your organization. Take control of your data, influence your stakeholders, and become the go-to professional who makes insights matter-start telling data stories that drive real business decisions today.

Free Download Data Science by Yi Yu, Haiwei Pan, Hongzhi Wang
English | November 11, 2025 | ISBN: 9819525659 | 655 pages | PDF | 77 Mb
The 41 full papers and 1 short papers included in this book were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: Education using big data, intelligent computing or data mining, etc.; Education research, methods and materials for data science and engineering; Machine Learning for Data Science; Basic Theory and Techniques for Data Science; Application of Blockchain; Big Data Management and Applications; Industrial Digitization and Applications; Applications of Data Science; Data Security and Privacy; Data-driven Scientific Research; and Novel methods for data analytics.

Data-Driven Recruiting Wie Machine Learning das Matching von Arbeitnehmern und Arbeitgebern optimiert

Data-Driven Global Optimization Methods and Applications

Data-Driven Decisions An Introduction to Machine Learning

Data-Driven Decision Support System in Intelligent HealthCare

Data-Centric Business and Applications

Data Visualization with D3.js Mastering Data Visualization with D3.js to Create Interactive and Dynamic Visuals

Data Structures and Algorithms Essentials You Always Wanted to Know Master Python, Recursion, Dynamic Programming, and Greedy

Data Storytelling for Business Decisions A Practical Guide to Data Visualisation and Storytelling for Data and Business

Data Science

Data Science with R Programming A Comprehensive Guide to Statistical Analysis and Visualization