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Learn AI & ML Fundamentals from Scratch: A Complete Beginner’s Guide Artificial Intelligence (AI) and Machine Learning (ML) have rapidly transformed into essential technologies powering the modern world. From recommendation systems on Netflix to voice assistants like Siri, from self-driving cars to medical diagnosis — AI & ML are driving the next wave of digital revolution. But the big question is: How can someone with zero background learn AI & ML from scratch? This blog is your complete roadmap — covering history, core concepts, math, algorithms, tools, projects, learning steps, careers , and more.   1. What is Artificial Intelligence (AI)? Artificial Intelligence is the ability of machines to mimic human intelligence — such as understanding language, recognizing images, making decisions, and solving problems. Real-world examples of AI: Google Maps (route optimization) ChatGPT (natural language understanding) Face Unlock (image recognition) Spa...

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Observation as a Requirements Gathering Technique in Business Analysis Observation is a critical technique used by Business Analysts (BAs) to gather requirements by closely watching how users interact with a system, process, or product in their actual work environment. It helps in uncovering implicit requirements, inefficiencies, and user behaviors that may not be explicitly mentioned during interviews or surveys. Types of Observation There are three primary types of observation techniques used in business analysis: Active (Participatory) Observation The BA directly participates in the process or workflow being studied. Provides a hands-on experience of the challenges faced by users. Useful for understanding complex workflows and real-time decision-making. Passive (Non-Participatory) Observation The BA watches users perform their tasks without interference. Ensures that the natural workflow remains unaffected by external influence. Helps in identifying gaps between documented p...