Created by Hadelin de Ponteves Kirill Eremenko SuperDataScience Team
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Description
Structure of the course:
Part 1 - Optimizing Business Processes
Case Study: Optimizing the Flows in an E-Commerce Warehouse
AI Solution: Q-Learning
Part 2 - Minimizing Costs
Case Study: Minimizing the Costs in Energy Consumption of a Data Center
AI Solution: Deep Q-Learning
Part 3 - Maximizing Revenues
Case Study: Maximizing Revenue of an Online Retail Business
AI Solution: Thompson Sampling
Real World Business Applications:
With Artificial Intelligence, you can do three main things for any business:
Optimize Business Processes
Minimize Costs
Maximize Revenues
We will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge.
In Part 1 - Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse.
In Part 2 - Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%! Just as Google did last year thanks to DeepMind.
In Part 3 - Maximizing Revenues, we will build a different AI that will maximize revenue of an Online Retail Business, making it earn more than 1 Billion dollars in revenue!
But that's not all, this time, and for the first time, we’ve prepared a huge innovation for you. With this course, you will get an incredible extra product, highly valuable for your career:
"a 100-pages book covering everything about Artificial Intelligence for Business!".
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