Manuel Amunategui

Student Retention Model Helping At-Risk Students

Modeling is about understanding behavior. It’s mostly applied towards commercial goals, but it will warm your heart and fill it with purpose when you apply it towards helping real people and especially our youth. Applied data science requires good data and good modeling skills but also a lot of pre- and post- analysis and workflow planning. This can go a long way in not only identifying who is at risk but tailoring the best intervention to help, in our case students, get back on track. And that’s the big picture.

youth

AI Is Being Held Back: Here’s How To Fix It

By now we should know that machines tend to uplift our quality of life. Over the past 100 years or so, the unfolding of each new breakthrough technology — from electricity to the automobile to the internet — has brought trepidation, then ultimately acceptance. Despite these past experiences, our society seems to have a peculiarly strong resistance to the latest technologies that are radically transforming our lives: artificial intelligence (AI) and machine learning (ML).

AI is being held back.

Society’s Mentality is Holding AI Back. How to Change Hearts & Minds

By now we as a society should have realized that machines tend to uplift our quality of life. Over the past hundred-odd years, the unfolding of each new breakthrough technology — from electricity to the automobile to the internet — has brought with it trepidation, but then ultimately acceptance. However, even in spite of these past …

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Changing hearts and minds

From Financial Compliance to Fraud Detection

Looking for Anomalies in Stock Market Data with Conditional Variational AutoEncoders (CVAE) and TensorFlow Just like Fast R-CNN and Mask-R CNN evolved from Convolutional Neural Networks (CNN), Conditional Variational AutoEncoders (CVAE) and Variational AutoEncoders (VAE) evolved from the classic AutoEncoder. CVAEs are the latest incarnation of unsupervised neural network anomaly detection tools offering some new and …

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Using Reinforcement Learning to build an Emergency Response Scenario

Pairing Q-Learning with other ML concepts like Reinforcement Learning (RL) and Case-based Reasoning (CBR) has shown a significant increase in the accuracy of a model. With the rise in popularity of Internet of Things (IoT), there are plenty of third-party sensor attachments, hardware and software management tools to leverage. The hope is to analyze the data after …

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