Machine Learning
Program Overview
The primary objective of this training is to equip participants with core principles and tools to address common machine learning problems. The training covers important concepts of machine learning to allow participants to build effective predictive models found in commercial and industrial products. Participants can, in addition, use the concepts to build their customized models suitable for their own applications.
Key Information
- Department
- Department of Electronics and Telecommunications Engineering
- Level
- Professional Courses
- Category
- Professional Courses
Fee Structure
(a) TZS 150,000 (Tanzanians)
(b) USD 150 (Foreigners)
Program Outcomes
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Upon completion of the course, participants should have gained sufficient practical knowledge and skills to perform the following tasks: |
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1. |
Describe opportunities and general applications of machine learning; |
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2. |
Establish an environment to design and implement a machine learning model; |
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3. |
Describe a machine learning workflow; |
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4. |
Give advantages of Python over other programming languages when applied in machine learning; |
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5. |
Illustrate how machine learning works; |
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6. |
Design and implement machine learning models to solve real-world problems; |
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7. |
Evaluate the performance of machine learning models; |
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8. |
Address overfitting and underfitting problems; and |
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9. |
Describe operations and applications of neural networks. |