Machine Learning

Machine Learning

A subset of artificial intelligence focusing on developing algorithms and statistical models to enable computers to learn from data and make predictions.

Supervised Learning

Training the model on labeled data to make predictions.

Unsupervised Learning

Finding patterns in unlabeled data to gain insights.

Reinforcement Learning

Learning through trial and error to achieve a goal.

Data Preprocessing

Cleaning, transforming, and preparing data for analysis.

Overfitting

Model performs well on training data but poorly on new data due to capturing noise.

Underfitting

Model is too simple to capture the underlying patterns in the data.

Bias in Data

Models can perpetuate biases present in the training data.

Privacy Concerns

Handling sensitive data requires ethical considerations.

Transparency

Understanding how models make decisions is crucial for accountability.

Machine learning is the process of teaching a machine to learn from data and make predictions or decisions without being explicitly programmed.