Category: Data Science

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

Author: ajit jaokar   This post is part of my forthcoming book The Mathematical Foundations of Data Science. Probability is one of the foundations of […] Read More

Author: Vincent Granville Some original and very interesting material is presented here, with possible applications in Fintech. No need for a PhD in math to […] Read More

Author: George Seif The pandas library offers core functionality when preparing your data using Python. But, many don’t go beyond the basics, so learn about […] Read More

Author: mtdearing While there is much excitement today around implementing AI at the enterprise level, the financial costs of this process are often unexpected and […] Read More