CyberSecurity Summary

• Quantum Programming in Depth: Solving problems with Q# and Qiskit

  A practical guide for programmers transitioning from quantum computing theory to application. It teaches readers to design, implement, and evaluate quantum algorithms using hands-on, project-based challenges. The text covers fundamental quantum concepts like state preparation, measurement, and unitary operations, demonstrating their application with Q# and Qiskit programming languages. It also addresses crucial aspects of quantum software engineering, including testing, debugging, and assessing algorithm performance on future fault-tolerant quantum computers, emphasizing the comparison against the best classical solutions. The book specifically explores Grover's search algorithm and its use in solving problems like the N-queens puzzle, highlighting the importance of efficient problem encoding and resource estimation.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Quantum-Programming-Depth-Solving-problems/dp/163343690X?&linkCode=ll1&tag=cvthunderx-20&linkId=df97a51726a38aaf9ea4368e1191e44f&language=en_US&ref_=as_li_ss_tl

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• MCA Modern Desktop Administrator Complete Study Guide: Exam MD-100 and Exam MD-101

  Offers comprehensive information for managing Windows 10 environments. Chapters 1-6 cover fundamental aspects like installation, user and group account management, file and folder security, and network connectivity, including detailed explanations of Active Directory and TCP/IP. Later chapters, 7-13, shift focus to system maintenance, security, and monitoring, exploring recovery options, various Windows Defender features (Firewall, Application Guard, Exploit Guard), and tools like Performance Monitor and Event Viewer. The text also provides extensive guidance on automated deployment methods such as Windows Deployment Services (WDS) and Windows Autopilot, and details the use of Microsoft Intune for device and application management. Throughout the guide, practical exercises and exam essentials reinforce key concepts for aspiring modern desktop administrators.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Modern-Desktop-Administrator-Complete-Study/dp/1119603099?&linkCode=ll1&tag=cvthunderx-20&linkId=c8f36ce7fb9c0cd767f63ace8db06b4b&language=en_US&ref_=as_li_ss_tl

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• Learn Functional Programming with Elixir: New Foundations for a New World (The Pragmatic Programmers)

  Provides an in-depth look at functional programming principles, specifically using the Elixir language. It functions as a learning guide, explaining core concepts such as immutability, pure functions, pattern matching, recursion, and higher-order functions, while also addressing practical application design, error handling strategies (including try/rescue, try/catch, Monads, and the with special form), and the Mix build tool. The content emphasizes Elixir's syntax, its concurrent capabilities, and how it simplifies complex programming tasks. Throughout the material, code examples and exercises reinforce the theoretical explanations, making it a resource for both understanding and applying functional programming with Elixir.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/-/es/Learn-Functional-Programming-Elixir-Foundations/dp/168050245X?&linkCode=ll1&tag=cvthunderx-20&linkId=9f5d024755bfd6b24a1d29dfda479064&language=en_US&ref_=as_li_ss_tl

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• Ultimate Machine Learning with ML.NET: Build, Optimize, and Deploy Powerful Machine Learning Models for Data-Driven Insights with ML.NET

  This comprehensive guide, "Ultimate Machine Learning with ML.NET," authored by Kalicharan Mahasivabhattu and Deepti Bandi and published by Orange Education Pvt Ltd, offers a thorough exploration of ML.NET. The book covers foundational machine learning concepts and terminology, detailing the framework's features, benefits, and applications across various industries. Readers will learn to build, optimize, and deploy powerful machine learning models using tools like ML.NET Model Builder and CLI, with a strong emphasis on data preparation, algorithm selection, hyperparameter tuning, and cross-validation. Furthermore, the text provides practical guidance on saving, loading, and securely deploying ML.NET models as RESTful services with Azure Functions and Web API, along with strategies for monitoring and troubleshooting in production environments.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Ultimate-Machine-Learning-ML-NET-Data-Driven/dp/B0D8L3Q283?&linkCode=ll1&tag=cvthunderx-20&linkId=7ec4842d231d17ec538551e6d18c846e&language=en_US&ref_=as_li_ss_tl

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• The Art of AI Product Development: Delivering business value

  A comprehensive guide for anyone involved in creating, designing, or marketing AI products. It covers the entire lifecycle of AI product development, from identifying and prioritizing AI opportunities and exploring various AI approaches like predictive AI, language models, and agentic AI, to designing user experiences that manage AI's inherent uncertainty. The book also addresses critical aspects of AI governance, including security, privacy, and bias, and provides guidance on communicating with diverse stakeholders and fostering user adoption and co-creation. It aims to equip readers with the knowledge and tools to build impactful and trustworthy AI systems.You can listen and download our episodes for free on more than 10 different platforms:https://linktr.ee/cyber_security_summaryGet the Book now from Amazon:https://www.amazon.com/Art-AI-Product-Development-Delivering/dp/1633437051?&linkCode=ll1&tag=cvthunderx-20&linkId=fa07188e6f3fd0f555c5cbef1297290d&language=en_US&ref_=as_li_ss_tl

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