Machine Learning

How to Improve Convergence and Performance of Deep Feed-Forward Neural Networks via a Simple Model Configuration

Photo by Martin Sanchez on Unsplash

Problem Statement

Background


Machine Learning Engineering

A Practical Methodology to Set the Most Important Hyperparameter in Deep Learning

Photo by David Everett Strickler on Unsplash

Problem Statement

Introduction


Machine Learning, Cloud Computing

From the Sandbox to the Cloud: How to Easily Deploy your Machine Learning Models into Production Web Applications

Photo by James Lee on Unsplash

Introduction


Machine Learning

A Brief Primer on Dataset Processing for Machine Learning Engineering at Scale

Photo by Claudio Testa on Unsplash

Problem Statement

Input Pipelines using the TensorFlow Data API

Jonathan Quijas

Hi, I’m Jonathan. I’m interested in Bayesian methods, causal reasoning, and Applied Machine Learning/Machine Learning Engineering. Feel free to reach out!

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