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Why Thinking and Experiencing Fast is More Important than your degrees

Why Thinking and Experiencing Fast is More Important for Your Career Than Your Degree 👨‍👩‍👦 Yes ,  Thinking and experiencing fast will make your careers, not your degrees !  Parents endlessly fight with others on how to bring up their children.  We, as parents, also argue about how to approach problems and other aspects of our parenting. One bone of contention is the idea of education for our only child. 💭 I feel speed of experience   is perpetually undervalued when it comes to building a career. I have been disappointed with the Indian education system throughout my life and want my child to bypass its demerits.  I believe that my son should not waste much time in the regressive education systems we have !  I believe that my son should start a business instead of pursuing a multinational job.  💼 Simply put, my experience shows that running a business is easier than doing a job.  Starting a business today means you begin learning immediately...

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Demystifying Ground Truth, Gold Standard, and Benchmark Terms in Image and Machine Learning

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Debunking Common Myths about Composting Container and Pit Designs

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Sentic Computing - A Multi-Disciplinary Approach to Sentiment Analysis

Basic Introduction to Sentic Computing: Sentic computing is an interdisciplinary field that combines affective computing (emotions and feelings) and commonsense computing to analyze sentiments and opinions on the web effectively. Its goal is to enhance the recognition, interpretation, and processing of sentiments by leveraging computer science and social science techniques. Key Models and Resources: a) The Hourglass of Emotions: The Hourglass of Emotions is a popular model used in sentic computing. It represents emotions as a hierarchy, ranging from basic emotions (e.g., joy, anger) to complex emotions (e.g., love, guilt). This model helps in understanding the relationships and transitions between different emotional states. b) Sentic Patterns: Sentic Patterns are linguistic patterns or templates that capture the expression of sentiments in text.They are useful for sentiment analysis as they provide a way to identify and extract sentiment-related information from text. For example, a p...