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A micro loan engine using machine learning
Micro Loan Fintech Example Making 10.13% using Fintech
In this paper, we outline how we used Machine Learning to developing a Fintech engine that outperforms 99% of the other engines in a real world application.
Machine Learning is extremely good at analyzing complex data with many variables. LEARN MORE
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Statistic
Data Efficient Reinforcement Learning
Self healing robots
PROS: • Control • No tagging data • Sparse rewards
CONS • Sample Inefficient • Big models • Local Optima
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About
Getting Started with Reinforcement Learning
6 Tips for Using Reinforcement Learning
Reinforcement Learning (RL) is a new AI technique changing the way we program and develop IoT devices. Among the areas that will benefit tremendously are robots and other devices that require complex system controls. RL algorithms learn to control your system. Tis ability to control the environment opens up a world of new applications in robotics and process control. LEARN MORE
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