Machine learning is a subset of AI and Data Science. It is an algorithmic approach of data mining and predictive modelling that enables software applications to become more accurate in predicting outcomes without being explicitly programmed. The essence is to ask your computer to self-learn massive data to look for hidden patterns. The Machine Learning approach of predictive data analysis is changing the traditional way how a company gets business insight from the company data. Consider taking the first step to get yourself prepared for the imminent Big Data era.
This is a practical course that will equip you with the R Programming techniques to get familiar with an array of popular machine learning models, ranging from the basic Multiple Linear Regression, K-Means Clustering, Random Forest to the advanced Artificial Neural Network and Convolutional Neural Network (CNN). In particular, you will understand why a computer can recognize your hand-written digits and an image with application of Deep Learning techniques.
It is worth mentioning that this is a unique course that combines Financial Data Analysis, Machine Learning and elementary Deep Learning techniques. You will learn from the basics and no programming skill is assumed.
To many people, data science is a difficult mathematical subject. Instead, we would not adopt a rigorous mathematical teaching approach during the curriculum. Our experienced trainer will use many life-like analogies to illustrate abstract concepts, you will certainly be able to learn Machine Learning Models with confidence and fun.
Standard Tuition Fee
* This is the first cohort of this course. We always work with industry experts as instructors, but as a thank you for taking the first run we are offering a special “cohort 1 rate” that will increase in future iterations.