Training Title: Mathematical Foundations of Machine Learning

Target Audience: This training is designed for participants who want to gain a deep understanding of the mathematical concepts that form the foundation of machine learning and aim to strengthen their technical background.

Training Duration: 10 hours (2 hours per day – 5 sessions)

• The Role and Use of Vectors in Machine Learning
• The Use of Matrices in Machine Learning
• Linear Algebra Applications in Machine Learning
• Data Analysis for Machine Learning
• Probability Theory and Machine Learning
• Data Transformation in Machine Learning Processes
• Probabilistic Models in Machine Learning
• Loss Functions, Optimization, and Model Evaluation
• Classification: Discriminative and Generative Models

🧑‍🎓 Who Should Join?

This program is ideal for learners who want to deepen their mathematical understanding for AI and ML, including:

✨ Aspiring AI/ML Engineers
✨ Data Scientists
✨ Software Developers
✨ Graduate students and researchers
✨ Technical leaders and innovators
✨ Anyone serious about mastering ML from the ground up

📌 A basic familiarity with high school mathematics is recommended. No advanced math background is required — we explain concepts clearly and intuitively.