Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. Inside Big Data brought this topic to us in their article, “Advantages of Adaptive AI Over Traditional Machine Learning Models.”
Examples of machine learning are everywhere. It’s how Netflix knows which show you’ll want to watch next or how Facebook recognizes your friend’s face in a digital photo.
The thing about traditional machine learning algorithms is that as complex as they may seem, they’re still machine-like. Organizations across industries are adopting AI systems to solve complex business problems, design intelligent and self-sustaining solutions and stay competitive at all times. Adaptive AI is a key step in that direction.
The adaptive learning method allows users to use a continuously enriched learning approach that keeps the system updated and helps it achieve high performance levels.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
