NOTE: Due to popular requests, the starting date of the workshop is shifted from 29 April to 13 May 2020.

Ever wondered how Amazon can predict what their customers are buying next? Want to learn how to build AI algorithms that power Grab's intelligent demand system?

Neural networks (famously known as Deep Learning) are the "superpower" for building the most effective predictive AI systems. In this course, you will learn practical AI concepts applied by industry practitioners and use them right away to build your own deep learning applications.

Zero experience in AI? No worries! Our experts will be there to mentor you. No prior programming experience needed.

WHAT YOU WILL LEARN:

Simple-but-powerful AI techniques used by industry practitioners.
Hands-on experience developing your own AI applications from start to end.
Proven framework on how to use AI effectively for solving industry problems.

WHY ATTEND?

You want to enhance your career portfolio through real-world AI projects.
You want to use AI for solving prediction problems.
You want to apply AI techniques to your research or projects.

LIVE CLASSROOM SCHEDULE:

Session 1 - May 13th - 7PM to 8.30PM
Session 2 - May 20th - 7PM to 8.30PM
Session 3 - May 27th - 7PM to 8.30PM
Session 4 - June 3rd - 7PM to 8.30PM

COURSE OUTLINE

Session 1: Introduction to Forecasting

Four basic concepts
The Perceptron
Feedforward Networks
Windowing
Introduction to Autocaffe
Summary & Homework

Session 2: Model Training

Risk Minimization
Backprop & Gradient Descent
The Prediction Pipeline
Understanding Loss Graphs
Windowing in Autocaffe
Feature Engineering
Summary & Homework

Session 3: Neural Networks

Defining the Network
Normalization
Difference networks
Early Stopping, Dropouts and Regularization
Homework

Session 4: Solving Real-World Problems

Application to SG Temps
Application to Energy Demand Forecasting

Snippets of the first session: http://ai4impact.org/forecasting.html

Join our community: http://ai4impact.org/

TRAINER'S PROFILE:

ARNOLD DORAY is the Head of AI of Terra AI, a predictive technology company. He has 20+ years of experience building global weather forecasting system for mission-critical operations. Arnold has trained 1200 students from NUS, NTU, and SMU in developing predictive AI applications.

Any question? Please contact hi@ai4impact.org.

AI4IMPACT Live Classroom - Forecasting with Neural Networks [4 Sessions]