Machine Learning Algorithms Types List Diagram

Slide Content Diagram

Presentation of main types of machine learning methods. ML techniques are computational AI models able to learn from data without being explicitly programmed to do so. Algorithms used in ML can be divided by type of training data and task goal into these categories:

• Supervised Learning: Uses labeled data. Use example: To predict value or class, e.g., if a transaction is fraud, or level of credit risk.
• Unsupervised Learning: Uses unlabeled data. Goal example: Identify clusters or relations.
• Semi-supervised Learning: Uses labeled & unlabeled data for training the model. Goal example: Character recognition.
• Reinforcement Learning: Reward-based learning where the goal can be, e.g., planning actions or strategies.

Graphical Look

Modern style structure diagram showing the division of ML types into four subcategories.

• Four rectangle blocks in a simple flat graphical style using toned grey and turquoise colors.
• Each element has an assigned icon representing the item - box illustrating AI model and attribute symbol.
• The visual design incorporates a flat design style with a clear color palette.
• The texts inside the block shapes are well readable and can be edited further by PowerPoint.

The overall look of the slide illustration is professional, with a clear hierarchy of information. The visual style is engaging, with colors and shapes directing the viewer's attention to each point in sequence.

Use Cases

• Teaching AI course.
• Presenting foundations of Machine Learning to clients or peers.
• As additional illustration for scientific publications or marketing materials.