Update pages/introds.py
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pages/introds.py
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<li><strong>Model Building and Training:</strong> Define the neural network architecture and expose it to labeled data for training.</li>
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</ul>
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</div>
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"""
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unsafe_allow_html=True
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)
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<li><strong>Model Building and Training:</strong> Define the neural network architecture and expose it to labeled data for training.</li>
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</ul>
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</div>
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""",
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unsafe_allow_html=True
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)
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# Header Section for AI
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st.markdown("<h1>Welcome to Artificial Intelligence</h1>", unsafe_allow_html=True)
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# Content for AI
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st.markdown(
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"""
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<div class="division">
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<h2>What is Artificial Intelligence?</h2>
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<p>
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Artificial intelligence is a field of science concerned with building computers and machines that can reason, learn, and act in such a way that would normally require human intelligence or that involves data whose scale exceeds what humans can analyze.
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AI is a broad field that encompasses many different disciplines, including computer science, data analytics and statistics, hardware and software engineering, linguistics, neuroscience, and even philosophy and psychology.
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On an operational level for business use, AI is a set of technologies that are based primarily on machine learning and deep learning, used for data analytics, predictions and forecasting, object categorization, natural language processing, recommendations, intelligent data retrieval, and more.
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</p>
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<ul>
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<li><strong>Retail:</strong> AI is being used to personalize the shopping experience, recommend products, and manage inventory.</li>
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<li><strong>Government:</strong> AI is being used to improve public safety, detect crime, and provide citizen services.</li>
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<li><strong>Transportation:</strong> AI is being used to develop self-driving cars and improve traffic management.</li>
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</ul>
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</div>
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<div class="division">
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<h2>Key Steps in Artificial Intelligence</h2>
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<ul>
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<li><strong>Define a Use Case:</strong> Clearly define the problems or challenges you want AI to solve. The more specific the goal, the better the chance of success.</li>
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<li><strong>Data Collection:</strong> The quality and quantity of data can directly impact the model's performance.</li>
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<li><strong>Build the Model:</strong> Identify a clear objective for what you want to do with the data.</li>
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<li><strong>Train the Model:</strong> Train the model or algorithm.</li>
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<li><strong>Evaluate the AI System:</strong> Evaluate the AI system's performance.</li>
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<li><strong>Deploy the Model:</strong> Move the model to production. Start with a limited rollout and gather feedback from enterprise users.</li>
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</ul>
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</div>
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""",
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unsafe_allow_html=True
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)
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