Category: Data Science

Author: William Vorhies Summary:  Centaur AI is the best marriage of the machine’s ability to remember, analyze, and detect issues along with the human’s intuition […] Read More

Author: mtdearing Going beyond traditional monitoring techniques and goals, understanding if a system is working as intended requires a new concept in DevOps, called Observability. […] Read More

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: mtdearing The curiosity and buzz around the most talked-about technology — Artificial Intelligence — have experts and technophiles busy decoding its exciting future applications. […] Read More

Author: Stephanie Glen Hundreds of programming languages dominate the data science and statistics market: Python, R, SAS and SQL are standouts. If you’re looking to […] Read More

Author: mtdearing HDBSCAN is a robust clustering algorithm that is very useful for data exploration, and this comprehensive introduction provides an overview of its fundamental […] Read More

Author: Bill Schmarzo I am a believer that the pathway to innovation must end with putting a product or service into the market that provides […] Read More

Author: Gregory PS Editor The cost of obtaining a MSc in #DataScience in Europe; 30 Python Best Practices, Tips, And Tricks; OpenAI is Adopting PyTorch; […] Read More

Author: Matt Mayo Editor To help practitioners make the most of recent and disruptive breakthroughs in debugging, explainability, fairness, and interpretability techniques for machine learning […] Read More

Author: mtdearing What makes deploying a machine learning project so difficult? Is it the expectations? The people? The tech? There are common threads to these […] Read More