Introduction to Various Reinforcement Learning Algorithms
This article was written by Steeve Huang. Reinforcement Learning (RL) refers to a kind of Machine Learning method in which the agent receives a delayed reward in the ...
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How GANs and Adaptive Content Will Change Learning, Entertainment and More
This is the next blog in my random series on better understanding some of these advanced Artificial Intelligence and Deep Learning algorithms. This “episode” takes on...
Comparing Model Evaluation Techniques
In my previous posts, I compared model evaluation techniques using Statistical Tools & Tests and commonly used Classification and Clustering evaluation techniques In ...
Detecting Bias with SHAP
StackOverflow’s annual developer survey concluded earlier this year, and they have graciously published the (anonymized) 2019 results for analysis. They’re a rich vie...
Enter the Era of Terabyte Memory
Enabling cost-effective terabyte main memory along with third-party observations of a “profound” change in storage, Intel® Optane™ DC persistent memory modules cha...
State of #AI 2019 Report
I highly recommend the #StateofAI 2019 report. I have followed this report from By Nathan Benaich and Ian Hogarth The report is free and you can download it at stateo...
Achieving over 30% net profit with Pivot Billions and Deep Learning enhanced trading models
Integrating Pivot Billions with Keras Deep Learning to enhance currency trading models with AI to achieve over 30% net profit in less than 7 months. Deep Learning has rev...
R-CNN, Fast R-CNN, Faster R-CNN, YOLO — Object Detection Algorithms
This article was written by Rohith Gandhi. Introduction Computer vision is an interdisciplinary field that has been gaining huge amounts of traction in the recent years(...
Building Face Recognition using FaceNet
Face recognition is a combination of two major operations: face detection followed by Face classification. In this tutorial, we will look into a specific use case of obje...
Regression Analysis in One Picture
The basic idea behind regression analysis is to take a set of data and use that data to make predictions. A useful first step is to make a scatter plot to see the rough...