Zak Jost

Amazon

Zak Jost is Research/Data Scientist at Amazon, applying data science and machine learning to fight fraudsters at Amazon Web Services. His focus is on building lean end-to-end solutions that deliver large, sustainable business impact in a principled way. He enjoys the infrastructure engineering as much as the analysis and modeling. He blogs also at Towards Data Science.

Adversarial Validation Overview

By Zak Jost, Amazon on February 13, 2020 in Adversarial, Kaggle, Machine Learning, Python, Validation
Learn how to implement adversarial validation that builds a classifier to determine if your data is from the training or testing sets. If you can do this, then your data has issues, and your adversarial validation model can help you diagnose the problem.
Overview of GANs (Generative Adversarial Networks) – Part I

By Zak Jost, Amazon on November 10, 2017 in Deep Learning, GANs, Generative Adversarial Network, Neural Networks
A great introductory and high-level summary of Generative Adversarial Networks.
Getting Started with Python for Data Analysis

By Zak Jost, Amazon on July 5, 2017 in Beginners, Data Analysis, Jupyter, numpy, Python
A guide for beginners to Python for getting started with data analysis.

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