Machine Learning Tutorials

Machine learning is a subset of artificial intelligence (AI) that focuses on the development of algorithms that can learn from and make predictions or decisions based on data. Below are some tutorials to help you get started with machine learning.

Tutorials List

• Introduction to Machine Learning
• Supervised Learning
• Unsupervised Learning
• Deep Learning
• Practical Machine Learning Projects

Introduction to Machine Learning

Machine learning is the field of AI that gives computers the ability to learn and improve from experience without being explicitly programmed. It is a branch of artificial intelligence focused on building systems that learn from data, identify patterns and make decisions with minimal human intervention.

Machine Learning

For more information, check out our Introduction to Machine Learning.

Supervised Learning

Supervised learning is a type of machine learning where a model is trained on labeled data. The goal is to learn a mapping from input to output so that the model can make accurate predictions on new, unseen data.

• Linear Regression
• Logistic Regression
• Support Vector Machines

Unsupervised Learning

Unsupervised learning is a type of machine learning where a model is trained on unlabeled data. The goal is to find patterns and relationships in the data without any explicit guidance.

• K-Means Clustering
• Principal Component Analysis
• Association Rules

Deep Learning

Deep learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.

• Neural Networks
• Convolutional Neural Networks
• Recurrent Neural Networks

Practical Machine Learning Projects

Practical machine learning projects can help you apply your knowledge to real-world problems and improve your skills.

• Sentiment Analysis
• Image Recognition
• Recommender Systems

Practical Machine Learning Projects