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What are computers for?   Historically, different answers to this question – that is, different visions of computing – have helped inspire and determine the computing systems humanity has ultimately built. Consider the early electronic computers. ENIAC, the world’s first general-purpose electronic computer, was commissioned to compute artillery firing tables for the United States Army. Other early computers were also used to solve numerical problems, such as...

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If the basic technical ideas behind Deep Learning are around for decades, why are they taking off today ?   The best thing to answer this question would be to show and explain you the picture below.     At the vertical axes of the diagram you can see the performance of an algorithm (e.g. it’s prediction accuracy) and at the horizontal axes you can see the amount of data...

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There may be a time, place, and appropriate use for OpenCV, but in the business of providing integration services involving machine vision software for industrial end-users, I have not yet found it.  There’s a lot to like about OpenCV – mainly the price which is “free”, and the breadth of variety of available algorithms.   But let’s consider some challenges.  There is no commercial support for...

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Today we will start our journey to the world of Artificial Intelligence(AI). We will learn the basic definition of Artificial Intelligence (AI), Machine Learning(ML), Deep Learning(DL), Natural Language Processing(NLP), Computer Vision and Image Processing. Later we will go deeper with the machine learning algorithms and how those algorithm works. This tutorial is for beginners, if you have an idea of AI skip this course and...

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As automakers rev up their engines in the race for self-driving cars, all routes to the finish line run through artificial intelligence. But just as automakers have come to accept that succeeding in the 21st century requires adopting new paradigms, AI itself must undergo major transformations in order to fulfill its promise of making our cars smarter, our roads safer, and our future autonomous. Achieving autonomy will...

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In machine learning, there’s something called the “No Free Lunch” theorem, which means no algorithm performs best for every problem. So, you need to figure out which algorithm is best for your problem with the available data set.  In today’s blog I will focus on 10 most commonly used machine learning algorithms. As we are going to learn 10 different algorithms in this post, it will...

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