Update pages/introds.py

pages/introds.py

@@ -138,3 +138,69 @@ st.markdown(
     """,
     unsafe_allow_html=True
 )
+# Content for ML
+st.markdown(
+    """
+    <div class="division">
+        <h2>What is Machine Learning ?</h2>
+        <p>
+         Machine learning (ML) is a branch of 
+           and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.
+     </p>
+     <ul>
+          <li><strong>Traffic prediction:</strong>Real Time location of the vehicle form Google Map app and sensors.Average time has taken on past days at the same time..</li>
+          <li><strong>Self-driving cars:</strong>One of the most exciting applications of machine learning is self-driving cars. Machine learning plays a significant role in self-driving cars. Tesla, the most popular car manufacturing company is working on self-driving car. It is using unsupervised learning method to train the car models to detect people and objects while driving.</li>
+          <li><strong>Stock Market trading:</strong>Machine learning is widely used in stock market trading. In the stock market, there is always a risk of up and downs in shares, so for this machine learning's long short term memory neural network is used for the prediction of stock market trends..</li>
+       </ul>
+    </div>
+    <div class="division">
+        <h2>Methods in MACHINE LEARNING</h2>
+        <ul>
+            <li><strong>Superwised ML:</strong>In supervised learning, the AI model is trained based on the given input and its expected output, i.e., the label of the input. The model creates a mapping equation based on the inputs and outputs and predicts the label of the inputs in the future based on that mapping equation.</li>
+            <li><strong>Unsuperwised ML:</strong>In unsupervised learning, the AI model is trained only on the inputs, without their labels. The model classifies the input data into classes that have similar features. The label of the input is then predicted in the future based on the similarity of its features with one of the classes..</li>
+            <li><strong>Reinforcement ML:</strong>In reinforcement learning, the AI model tries to take the best possible action in a given situation to maximize the total profit. The model learns by getting feedback on its past outcomes..</li>
+                </ul>
+    </div>
+    """,
+    unsafe_allow_html=True
+)
+# Content for Generative AI
+st.markdown(
+    """
+    <div class="division">
+        <h2>What is Generative AI  ?</h2>
+        <p>
+           Generative AI is artificial intelligence designed to create unique text or image results in response to user prompts. 
+           The technology uses machine learning to return an output based on the user’s prompt. 
+           AI engineers train the technology using large data sets, which the model consults when determining the best possible answer to a prompt.
+           Another way to look at generative AI is as a form of predictive artificial intelligence.
+           Based on the information provided, generative AI will predict which words and in which order will give the best answer to the user's prompts.
+          </ul>
+    </div>
+    <div class="division">
+        <h2>Apllications with GenAI in daily life </h2>
+        <ul>
+           <li><strong>Advertising and marketing:</strong>Generative artificial intelligence offers many solutions to professionals working in advertising and marketing, such as generating text and images needed for marketing or finding new ways to interact with customers. Here are some examples of generative AI applications in advertising and marketing.</li>
+           <li><strong>Media and entertainment:</strong>Media and entertainment could embrace generative AI in several ways, considering the industry primarily engages in the same task as the tech: generating unique content. Generative AI can help create and edit visual content, create short highlight videos of sporting events, and make working with content management systems easier..</li>
+           <li><strong>Manufacturing:</strong>In manufacturing, professionals can use generative AI to look for ways to improve efficiency, anticipate maintenance needs before they cause problems, help engineers create better designs faster, and create a more resilient supply chain. Let’s explore these potential manufacturing solutions.</li>
+               </ul>
+    </div>
+    """,
+    unsafe_allow_html=True
+)   
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