Machine Learning Basics and a Real-World Application
From fraud detection and email filtering to self-driving cars and patient diagnosis, the potential applications of machine learning seem almost endless. But if you’re interested in deploying a machine learning (ML) application, where do you begin? Do you build it in-house or outsource it? What resources are required? What platform should you build it on? In the first of this three-blog series, we cover some of the key considerations for developing and deploying ML applications. The Basics of Machine
Read moreSeligoAI: Using Amazon Personalize and Forecast for More Than a Match
The applications for matchmaking powered by artificial intelligence (AI) go far beyond online dating. The use of machine learning (ML) can help match job seekers to jobs, startups to venture capitalists, nonprofit organizations to grants, and even prospective college students to institutions of higher education. However, it’s not just the match that matters. AI offers opportunities to do more with the data gathered for these applications. For example, the data gathered for matching students to colleges and universities could
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