Assignment: Artificial Intelligence (AI) and Machine
Learning (ML)
Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) is one of the most important
technologies of the modern world. It refers to the ability
of machines and computer systems to perform tasks that
usually require human intelligence, such as learning,
problem-solving, decision-making, and understanding
language. AI is widely used in our daily lives, often
without us realizing it.
Machine Learning (ML) is a branch of Artificial
Intelligence. It enables computers to learn from data and
improve their performance without being explicitly
programmed for every task. Instead of following fixed
instructions, machine learning systems identify patterns in data and use those patterns to make predictions or
decisions.
How Machine Learning Works
Machine learning begins with collecting data. This data is then analyzed using algorithms that identify
relationships and patterns. The system learns from these patterns and uses them to make predictions on new
data. As more data becomes available, the model continues to improve its accuracy.
The basic steps of machine learning are:
1. Data collection
2. Data preparation
3. Model training
4. Testing and evaluation
5. Making predictions
Types of Machine Learning
There are three main types of machine learning:
Learning (ML)
Artificial Intelligence and Machine Learning
Artificial Intelligence (AI) is one of the most important
technologies of the modern world. It refers to the ability
of machines and computer systems to perform tasks that
usually require human intelligence, such as learning,
problem-solving, decision-making, and understanding
language. AI is widely used in our daily lives, often
without us realizing it.
Machine Learning (ML) is a branch of Artificial
Intelligence. It enables computers to learn from data and
improve their performance without being explicitly
programmed for every task. Instead of following fixed
instructions, machine learning systems identify patterns in data and use those patterns to make predictions or
decisions.
How Machine Learning Works
Machine learning begins with collecting data. This data is then analyzed using algorithms that identify
relationships and patterns. The system learns from these patterns and uses them to make predictions on new
data. As more data becomes available, the model continues to improve its accuracy.
The basic steps of machine learning are:
1. Data collection
2. Data preparation
3. Model training
4. Testing and evaluation
5. Making predictions
Types of Machine Learning
There are three main types of machine learning:
