Five days
Intermediate
AI-ML-202
Data Scientist / AI Engineer
This course provides a comprehensive deep dive into the algorithms and mathematical foundations that power modern Artificial Intelligence. Learners will move from basic regression models to complex neural networks, focusing on building and deploying predictive models.
An instructor-led training session, whether in-person or online, is base on classroom.
Learners can go through the content and activities at their own pace.
Combines traditional, face-to-face “seat time” with some online learning activities.
Linear algebra, probability, and statistics for ML .
Regression, Decision Trees, and Support Vector Machines.
K-Means, PCA, and dimensionality reduction.
Introduction to Neural Networks and model hosting.
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