AI Companies to Watch for in 2023
For this year, OpenAI is an easy choice for the top AI company. It’s ChatGPT platform – which was launched in late November – was… Read More »AI Companies to Watch for in 2023
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Machine Learning
Training Data to Employ AI in Healthcare
As artificial intelligence (AI) becomes an increasingly important tool in health care, it offers unprecedented opportunities for improving patient outcomes, reducing costs, and impacting population… Read More »Training Data to Employ AI in Healthcare
Annotation Strategies for Computer Vision Training Data
It is well known that data science teams dedicate significant time and resources to developing and managing training data for AI and machine learning models… Read More »Annotation Strategies for Computer Vision Training Data
How to Explore Historical Data Patterns with Machine Learning
The possibility to render historical data into comprehensive patterns has added soundness to many areas, and when we consider trading, it has left a giant… Read More »How to Explore Historical Data Patterns with Machine Learning
DSC Weekly 1 Nov 2022 – Why the Future Seldom Matches Expectations
This week saw the news that two major automotive companies, Ford and VW, were walking away from a multi-billion dollar investment into Argo AI, a venture intended to build self-driving vehicles. Instead, the companies hope to roll at least some of that effort back into augmenting drivers’ abilities to drive safely and efficiently.
How to Use Data Science for Search Engine Optimization
Data science assists SEO experts in countless ways, like personalizing the customer experience, understanding client requirements, and many other things.
Technical Debt In Machine Learning System – A Model Driven Perspective
The aphorism acknowledges that models of our knowledge always fall short of the complexities of reality but can still be useful nonetheless. With this model background, let us delve into this article focusing on specific technical debt in Machine Learning System development.
The Cagle Report – Episode 1 – Send in the Drones
An interview with Brenden Bartholomew, President of Vector Aerial, on the use of drones in both military and civilian contexts, as well as a discussion about how Drone AI works and where it’s heading
A Model For Technical Debt In Machine Learning Systems
Technical Debt describes what results when development teams take conscious actions to expedite the delivery of a piece of functionality or a project which later needs to be remediated via refactoring.
Top 10 Projects for Data Science and Machine Learning
Building machine learning projects can give you a much more comprehensive education about how they work.