Data Science

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in August 2020 - 14 August 2021.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in December 2019 - July 2020.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in December 2018 - November 2019.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in June 2017 - November 2018.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in October 2016 - May 2017.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in March - September 2016.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, software trace and log analysis written in August 2015 - February 2016.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, debugging, crash dump analysis, memory forensics, software trace and log analysis written in December 2014 - July 2015.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, debugging, crash dump analysis, memory forensics, software trace and log analysis written in June 2014 - November 2014.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, debugging, crash dump analysis, software trace and log analysis, malware analysis and memory forensics written in November 2011 - May 2014.

Discover the full potential of Microsoft Excel in Hallo Microsoft Excel: Mastering Data Analytics. This book is packed with hands-on labs (HOL) designed to teach you how to transform raw data into meaningful insights. Learn how to connect Excel with SQL Server, configure queries, and load data seamlessly. Master data visualization with tools like PivotTables, Sparklines, and Maps. Dive into dynamic reports, dashboards, and what-if analysis to create interactive and visually compelling insights. Each exercise, from conditional formatting to growth analysis, is crafted to make you a data analytics expert using Excel. Perfect for beginners and professionals alike, this book is your guide to mastering data analytics, step by step!

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) about memory dump analysis, software trace and log analysis, software troubleshooting, and debugging written in November 2010 - October 2011.

"How Does Computer Science Work?" answers 28 key questions every software engineer should know, unraveling the technologies that shape our digital world. From how browsers work and cryptography secures data to AI, Web3, and quantum computing, this book bridges curiosity and understanding. Perfect for students, self-taught programmers, and seasoned developers, it’s your ultimate guide to mastering foundational concepts and cutting-edge innovations in computer science.

Unlock the power of YAML with this comprehensive guide! Whether you're just starting or looking to enhance your skills, From Zero to YAML offers step-by-step instructions, practical examples, and real-world applications to help you master this essential tool for DevOps, cloud infrastructure, and configuration management. Learn how to write, structure, and manipulate YAML files with ease, and apply it to modern technologies like Docker, Kubernetes, AWS, and more. Ready to streamline your workflows and optimize your configurations? Dive into the world of YAML and transform the way you work with data!

This book provides a practical guide to critical data science methods, focusing on their application in credit risk management. Using examples in R and Python, it presents step-by-step processes for applying various analytical techniques while highlighting the importance of aligning methods with the specific characteristics of the data. Designed for practitioners and those with foundational data science and banking knowledge, the book bridges theory and practice with real-world examples.