Machine Learning and Data Science
Course Description
This package provides an understanding of the foundations of data science and its applications and a broad introduction to machine learning and algorithms and learn how the data science process can be used to address business problems.
Course Objectives:
| · | Design one or more services or applications within an organization |
| · | Understand the processes of the business well for creating a cohesive product vision |
| · | Responsible for building and integration of computer systems and information for meeting specific needs |
| · | Explore multiple architectures and understand how to fine-tune and continuously improve models |
| · | Learn the principles of machine learning and the importance of algorithms |
| · | Understanding of machine learning |
| · | Learn how complex data can be harnessed to grow and scale an organization |
Course Contents:
| · | Introduction |
| · | Explaining and Harnessing Adversarial Examples |
| · | Optimization |
| · | Gradient Checking |
| · | Hyperparameter tuning |
| · | Programming Frameworks |
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