Masterclass Certificate in Data Gradient Descent Basics
-- ViewingNowThe Masterclass Certificate in Data Gradient Descent Basics is a comprehensive course designed to provide learners with a strong foundation in one of the most essential optimization techniques in data science. This course emphasizes the importance of Gradient Descent in optimizing machine learning models, enabling learners to tackle complex data analysis tasks with confidence.
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โข Unit 1: Introduction to Data Gradient Descent
โข Unit 2: Understanding Gradient Descent Algorithm
โข Unit 3: Mathematical Foundations of Gradient Descent
โข Unit 4: Variants of Gradient Descent: Batch, Stochastic, and Mini-batch
โข Unit 5: Choosing the Learning Rate in Gradient Descent
โข Unit 6: Handling Large Datasets with Gradient Descent
โข Unit 7: Overfitting and Regularization in Gradient Descent
โข Unit 8: Implementing Gradient Descent in Python
โข Unit 9: Advanced Topics: Conjugate Gradient, BFGS, and Newton's Method
โข Unit 10: Applications of Gradient Descent in Machine Learning
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