Gain in-depth knowledge of data analysis and machine learning. 

This course gives an in-depth understanding of data analysis and the machine learning concept. Understand the difference between types of machine learning (unsupervised, supervised, and reinforcement learning). Get introduced to different supervised learning algorithms for regression and classification problems, as well as to different unsupervised learning algorithms for data clustering and dimensionality reduction problems. Get into the topic of neural networks and deep learning. Finally, the course provides the background of convolutional neural networks and their application to different real-world problems.

Course Topics:

Introduction to data analysis and machine learning concept
Supervised learning – regression
Supervised learning – classification
Supervised learning – non-linear models
Good practice for data preparation and training process
Unsupervised learning – dimensionality reduction
Unsupervised learning – data clustering
Introduction to neural networks
Introduction to convolutional neural networks (CNN)
 Popular and widely-used CNN structures and applications