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import streamlit as st
st.markdown(
"""
<style>
.stApp {
background-image: url("https://huggingface.co/spaces/ronakreddy18/Zerotoheroinmachinelearning/resolve/main/ai-technology-brain-background-digital-transformation-concept.jpg");
background-size: cover;
background-repeat: no-repeat;
background-attachment: fixed;
}
</style>
""",
unsafe_allow_html=True
)
# Header Section
st.markdown("<h1>DIFFERENCES BETWEEN ML AND DL</h1>", unsafe_allow_html=True)
# Content for Machine Learning
st.markdown(
"""
<div class="division">
<h2>Key Points in Machine Learning</h2>
<ul>
<li><strong>Data Points:</strong> Machine Learning models can be trained on smaller datasets.</li>
<li><strong>Hardware for Training:</strong> Training can be done on standard CPUs.</li>
<li><strong>Training Time:</strong> Requires less time due to smaller dataset sizes and simpler algorithms.</li>
<li><strong>Algorithm Complexity:</strong> Includes simpler models like linear regression and more complex ones like decision trees or random forests.</li>
<li><strong>Analysis Complexity:</strong> Involves identifying patterns and relationships in data.</li>
<li><strong>Application Areas:</strong> Widely used for tasks such as regression, classification, and clustering.</li>
</ul>
</div>
""",
unsafe_allow_html=True
)
# Content for Deep Learning
st.markdown(
"""
<div class="division">
<h2>Key Points in Deep Leraning</h2>
<ul>
<li><strong>Data Points:</strong> Machine Learning models csan be trained on larger dataset.</li>
<li><strong>Hardware for Training:</strong> Training can be done on GPUs.</li>
<li><strong>Training Time:</strong> Requires more time due to larger dataset sizes and bigger algorithms.</li>
<li><strong>Algorithm Complexity:</strong> Deep learning algorithms are based on artificial neural networks that consist of multiple layers and nodes..</li>
<li><strong>Analysis Complexity:</strong>Uses complex neural networks with multiple layers to analyze more intricate patterns and relationships.</li>
<li><strong>Application Areas:</strong> Deep learning is mostly used for complex tasks such as image and speech recognition, natural language processing, and autonomous systems.</li>
</ul>
</div>
""",
unsafe_allow_html=True
)
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