import streamlit as st st.markdown( """
Data Science is a huge field that combines statistical analysis, programming, machine learning, and domain expertise to extract insights and knowledge from structured and unstructured data. It involves collecting, cleaning, analyzing, and visualizing data to uncover patterns, trends, and actionable insights. Data science empowers to solve complex problems, predict future outcomes, and make data-driven decisions in a rapidly evolving world.
""", unsafe_allow_html=True) st.header(":red[Artificial Intelligence]") st.markdown( """Artificial Intelligence refers to the simulation of human intelligence in machines designed to think, learn, and make decisions like humans. We are going to guide the machine to easily copy / mimic the natural intelligence to create their own intelligence known as AI. It guides the machine ---> to mimic ---> natural intelligence ---> create their own intelligence ---> known as **Artificial Intelligence** For mimicking the natural intelligence to create AI is
Because of intelligence there are two capabilities:
When machine wants to copy / mimic learning ability of natural intelligence the tools are :
When machine wants to copy / mimic generating ability of natural intelligence the tool is :
Machine learning is a tool used when machine wants to copy / mimic the learning ability of natural intelligence.
If a machine wants to learn something provided by guide: Guide ---> Ml ---> it learns ---> Data + Algorithm It is learning relationship --> which is actually considered as function Machine Learning is a relationship mathematically known as function where the relationship is hidden in data and to know the relationship algorithm is used
""", unsafe_allow_html=True)