Course Outline
Module Time
Day One Understanding Big Picture 9:00am
Environment for Experiments 11:00am
Lunch Break 12:30pm
Key Statistics 1:30pm
Data Visualization 3:30pm
End of Day One 5:00pm
Day Two Acquiring & Preparing Data 9:00am
Feature Engineering 11:30am
Lunch Break 12:30pm
Continue Feature Engineering 1:30pm
Machine Learning using Scikit Learn 2:30pm
End of Day Two 5:00pm
Day Three Supervised Machine Learning 9:00am
Un-Supervised Machine Learning 11:30am
Lunch Break 12:30pm
Continue Un-Supervised Machine Learning 1:30pm
Introduction to Deep Learning 2:30pm
End of Day Three 5:00pm
Day Four Artificial Neural Network 9:00am
TensorFlow API 11:30am
Lunch Break 12:30pm
Continue TensorFlow API 1:30pm
Convolutional Neural Networks (CNN) 2:30pm
End of Day Four 5:00pm
Day Five Recurrent Neural Networks (RNN) 9:00am
Natural Language Processing 11:30am
Lunch Break 12:30pm
Continue Natural Language Processing 1:30pm
Conversational AI 2:30pm
End of Day Five 5:00pm
Programme scope, delivery arrangements and suitability are confirmed during enquiry.