InTDS ArchivebyZach Monge, PhD·Jul 11, 2021A Data Scientist’s Guide to Creating and Deploying AppsA quick guide for data scientists on resources for creating and deploying web applications.A response icon1A response icon1
InTDS ArchivebyZach Monge, PhD·Aug 4, 2020Why Your Company Should Care About Named Entity RecognitionA use case of named entity recognition demonstrating why it is so useful.
InTDS ArchivebyZach Monge, PhD·Jul 12, 2020Identifying and Solving Ambiguous Data Science ProblemsA brief guide to identifying and solving ambiguous data science problems
InTDS ArchivebyZach Monge, PhD·Mar 30, 2020Developing Python Libraries for Data ScientistsWhy you should be developing Python libraries in Jupyter Notebooks.
InTDS ArchivebyZach Monge, PhD·Jan 27, 2020Time Series Anomaly Detection With “Real World” DataTime series anomaly detection is a very hard problem, especially when working with “real world” data.A response icon1A response icon1
InTDS ArchivebyZach Monge, PhD·Aug 26, 2019Machine Learning Algorithms are Not Black BoxesA Guide to Interpreting Neural NetworksA response icon3A response icon3
InTDS ArchivebyZach Monge, PhD·Jun 23, 2019Quickly Navigating Python Libraries With CtagsA tutorial for using ctags to efficiently navigate Python libraries for data scientists.
InTDS ArchivebyZach Monge, PhD·Mar 4, 2019How SQL Is Making Me a Better ScientistAn explanation of why and how I started using SQL
InTDS ArchivebyZach Monge, PhD·Feb 18, 2019CycleGANs to Create Computer-Generated ArtAn explanation of CycleGANs and demonstration of computer-generated artA response icon4A response icon4
InTDS ArchivebyZach Monge, PhD·Feb 11, 2019Learning to Code for Data Scientists and AcademicsAs a senior grad student I frequently mentor junior lab members (e.g., undergraduate students, post-baccalaureate research assistants…A response icon3A response icon3
