Category: Data Science

Author: Vincent Granville Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for […] Read More

Author: Vincent Granville The original article is no longer available. Similar (and more comprehensive) material is available below.  Example of underfitted, well-fitted and overfitted models […] Read More

Author: mtdearing As a developer who is excited about leveraging machine learning for faster and more effective development, these software tools are worth trying out. […] Read More

Author: mtdearing Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for […] Read More

Author: Paul Derstine by Hudson Hollister Detecting which of the federal government’s millions of contracts most likely involve fraud used to require insider access to agencies’ […] Read More

Author: Matt Mayo Editor Also: Highest paid positions in 2019 are DevOps, Data Scientist, Data Engineer (all over $100K) – Stack Overflow Salary Calculator, Updated; […] Read More

Author: mtdearing Developing an excellent machine learning model is one thing. Deploying it to production is another. Consider these lessons learned and recommendations for approaching […] Read More

Author: Matt Mayo Editor Also: Introduction to Natural Language Processing (NLP); Anomaly Detection, A Key Task for AI and Machine Learning, Explained; How to Become […] Read More

Author: William Vorhies Summary:  Contextually intelligent, NLP-based interactive assistants are one of the next big things for AI/ML.  The tech is already here from recommendation […] Read More

Author: /u/datascience-bot Bleep Bloop. Welcome to this week’s entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into […] Read More