Welcome to the section on Machine Learning Basics. Here, you will find a comprehensive guide to the foundational concepts of machine learning. Let's dive into the world of algorithms and data!
What is Machine Learning?
Machine learning is a subset of artificial intelligence (AI) that focuses on the development of computer programs that can access data and use it to learn for themselves.
Key Concepts
- Supervised Learning: Algorithms learn from labeled data.
- Unsupervised Learning: Algorithms learn from unlabeled data.
- Reinforcement Learning: Algorithms learn from their environment by performing actions and receiving feedback.
Machine Learning Models
- Neural Networks: Inspired by the human brain, these models are capable of learning complex patterns.
- Support Vector Machines (SVM): Effective in high-dimensional spaces.
- Decision Trees: Easy to interpret and visualize.
Applications of Machine Learning
- Image Recognition
- Natural Language Processing
- Medical Diagnosis
- Financial Modeling
Neural Network
For more in-depth knowledge on machine learning, check out our Machine Learning Advanced course.