In recent articles I have looked at some of the terminology being used to describe high-level Artificial Intelligence concepts – specifically machine learning and deep learning. In this piece, I want ...
Supervised ML trains algorithms using labeled data to predict outputs from inputs. It helps in various industries like finance and healthcare by improving decision accuracy. Investors can gauge ...
We’re going to teach John Green Bot how to tell the difference between donuts and bagels. Supervised learning is the process of learning WITH training labels, and is the most widely used kind of ...
Can a neural network be constructed entirely from DNA and yet learn in the same way as its silicon-based brethren? Recent breakthroughs indicate that the answer is affirmative, with a molecular ...
Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...
Malaya Rout works as Director of Data Science with Exafluence in Chennai. He is an alumnus of IIM Calcutta. He has worked with TCS, LatentView Analytics and Verizon prior to the role at Exafluence. He ...
This article is part of our coverage of the latest in AI research. What is the next step toward bridging the gap between natural and artificial intelligence? Scientists and researchers are divided on ...
Scientists are exploring approaches that would help machines develop their own sort of common sense. Credit...Todd St. John Supported by By Craig S. Smith This article is part of our latest Artificial ...
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