|IN00CR47||Basics of Machine Learning (5 cr)|
|Objectives||? A student knows what machine learning can do and what it can not do. Student knows some topical machine learning solutions.
? A student knows what mathematics is typically required for implementing machine learning solutions and student can implement matrix multiplication
and gradient decent algorithm with Python.
? A student knows what tools are available for machine learning solutions and student can implement simple Python programs using numPy
and Matplotlib Python modules.
? A student understands how neural network is used to identify numbers from gray scale pictures.
|Content||? Introduction to machine learning
? Mathematics (matrices, derivative and gradient) for understanding how machines learn
? Programming tools (Python) for implementing machine learning algorithms
? Machine learning "hello world" algorithm for identifying numbers from gray scale pictures with neural network.
|Recommended optional programme components||If necessary, the student advisor will recommend optional programme components for each student based on their individual study plan.|
|Accomplishment methods||Not applicable|
|Execution methods||Not applicable|
|Evaluation Criteria||Not applicable|
|Further Information||Not applicable|
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- 01.08.2020 - 31.07.2021 (IN00CR47-3002 | YHT20S, YHT21K)