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Reinforcement Learning: Agents, Rewards and Decisions

November 2, 2026

AI for business

What reinforcement learning is, how rewards differ from outcomes and how to evaluate a policy in simulation. Visual examples and business selection criteria.

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PCA: Dimensionality Reduction and Explained Variance

November 2, 2026

AI for business

What principal components are, how data scale matters and what a projection loses. Visual calculations, explained variance and business evaluation.

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K-Means Customer Segmentation: Understanding Clusters

November 2, 2026

AI for business

How K-Means groups data: centroids, distances, scaling and cluster count. An original visual example and controlled CRM integration.

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Decision Trees: Classification, Learned Rules and Evaluation

November 2, 2026

AI for business

How a tree learns splits, and what Gini, depth and pruning mean. An original branching diagram, calculations and branch-level business evaluation.

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KNN Algorithm: Classification and Regression Explained

November 2, 2026

AI for business

How KNN selects nearby examples, votes for classes and estimates values. Visual distances, scaling and evaluation for business applications.

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Multiple vs Multivariate Linear Regression: Explained

November 2, 2026

AI for business

Multiple predictors or multiple outputs? Linear regression explained with illustrative calculations, errors in minutes and business validation criteria.

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GANs and Diffusion Models: How AI Generates Images

November 2, 2026

AI for business

Generators, discriminators, noise and latent space: compare GANs with diffusion. Explanatory diagrams, image controls and a business workflow.

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Face Detection or Face Recognition: Differences and Data

November 2, 2026

AI for business

Understand face detection, 1:1 verification and 1:N identification. Explanatory workflows, errors, data protection and project assessment criteria.

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YOLO Object Detection: Data, Evaluation and Counting

November 2, 2026

AI for business

Prepare a YOLO project: classes, labels, thresholds, IoU, errors and object counting in video. Original diagrams and business testing criteria.

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RNN, LSTM and GRU: Sequential Data and Time Series

November 2, 2026

AI for business

How recurrent networks process history: states, gates, time windows and chronological evaluation. Visual examples for useful business forecasting.

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Convolutional Neural Networks: How a CNN Works

November 2, 2026

AI for business

CNNs explained through filters, feature maps and a visual calculation. Data, transfer learning and evaluation for a practical image-analysis application.

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How a Transformer Works: The AI Attention Mechanism

November 2, 2026

AI for business

AI attention explained visually: tokens, queries, keys, values, masks, encoders and decoders. Demonstrative examples and business application criteria.

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