Most of the Machine Learning and Deep Learning problems that you solve are conceptualized from the Generative and Discriminative Models. In Machine Learning, one can clearly distinguish between the ...
In this article, you will learn how to build python-based gesture-controlled applications using AI. We will guide you all the way with step-by-step instructions. I'm sure you will have loads of fun ...
This post explains the implementation of Support Vector Machines (SVMs) using Scikit-Learn library in Python. We had discussed the math-less details of SVMs in the earlier post. In this post, we ...
Ideas in Machine Learning have a "winner takes all" quality. When an idea takes off, it dominates the field so completely that one tends to believe it is the only idea worth pursuing. Today, Deep ...
This post is part of a series I am writing on Image Recognition and Object Detection. The complete list of tutorials in this series is given below: Image recognition using traditional Computer ...
In this post, we will learn the details of the Histogram of Oriented Gradients (HOG) feature descriptor. We will learn what is under the hood and how this descriptor is calculated internally by ...
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In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.
