This course is all bout the learning and applying the most common mathematical techniques used for general Artificial Intelligence (A.I.) computations.
A.I., specifically in the field of Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning interactively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.
Instructor : Dr. Chris Jordan G. Aliac
- Teacher: Chris Jordan Aliac
- Enrolled students: 11