Blogs
Filling Predictive Modeling Gaps with Anomaly Detection
Anomaly detection is a great technique to use in supervised machine learning and AI applications.
Mosaic Data Science has deployed Practical AI to bridge the gap between AI research and practical implementation by creating AI-driven tools, systems, and applications that address specific challenges and tasks. Our solutions are designed to enhance efficiency, automate processes, improve decision-making, and deliver measurable benefits to our customers.
Anomaly detection is a great technique to use in supervised machine learning and AI applications.
We examine a practical use of NLP, analyzing the 2016 presidential debate speech transcripts to uncover what issues the candidates discuss most.
Applying AI for scoring marketing content effectiveness is a great use case for businesses.
NLP is a great AI technique businesses can utilize to take advantage of text data.
Word frequency models are a great text mining technique in NLP development.
Our blog post examines the role of an executive in a data-driven organization.
This post discusses how many data scientists fail to frame business problems as optimizations even after coming to the correct statistical outcome.
This case study examines how Mosaic helped NASA and the FAA dynamically balance airspace capacity & demand.
Mosaic built custom ML & AI models for a leading express shipping company to optimize their overnight shipping operations.