Creating a Kubernetes cluster on AWS may seem like a daunting task, but with the right guidance, it can be accomplished in just a few minutes.
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I Was on a Machine Learning for Geosciences Podcast
I recently had the pleasure of being a guest on a machine learning podcast called Undersampled Radio, and it was a blast! Hosted by Gram Ganssle and Matt Hall
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Autoencoders with Keras
Autoencoders have become an intriguing tool for data compression, and implementing them in Keras is surprisingly straightforward. In this post
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Building Scikit-Learn Pipelines With Pandas DataFrames
Working with scikit-learn alongside pandas DataFrames has often been a source of frustration due to the lack of seamless integration between the two.
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High-Dimensional Microarray Data Sets in R for Machine Learning
In my pursuit of machine learning research, I often delve into small-sample, high-dimensional bioinformatics datasets.
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Bye Bye, Jekyll. Hello, Hugo
I’ve decided to bid farewell to Jekyll after encountering one too many Liquid errors and dealing with the Ruby dependency headache.
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Installing TensorFlow on an AWS EC2 Instance with GPU Support
Here’s a guide on installing TensorFlow 0.6 on an Amazon EC2 Instance with GPU Support. Additionally
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Serverless API around Google Cloud Vision with the Serverless Framework
Recently, the Serverless Framework reached version 1.0 (beta) after about a year of development.
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Configuring IPython Notebook Support for PySpark
Apache Spark is a powerful tool for handling large-scale data processing, and PySpark offers a convenient way to interact with Spark using Python.
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A Brief Look at Mixture Discriminant Analysis
In my recent postdoctoral work focusing on data-driven automated gating, I’ve been extensively exploring finite mixture models.
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