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Machine Learning

machine vision system acquires images of an object, and then uses computers to process, analyze and measure various characteristics of that object. The purpose may be to enhance the image to see characteristics undetected to the human eye, or to analyze image data for measurement purposes. The decisions made from this information are often related to quality. For example, production line parts can be qualified...

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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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What is Supervised Machine Learning? In Supervised Machine learning, the Machine is given a set of data which already knows how the output should look and have an idea about the relation between the input and out. Supervised learning problems are also categorized as “regression” and “classification” problems. In regression problems machine predict a numeric or continuous variable output where as in classification problems the predicted output is discrete.  For example, if the...

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What is machine learning?   Here’s a basic definition of machine learning: “Algorithms that parse data, learn from that data, and then apply what they’ve learned to make informed decisions” An easy example of a machine learning algorithm is an on-demand music streaming service. For the service to make a decision about which new songs or artists to recommend to a listener, machine learning algorithms associate the listener’s preferences...

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Do we need to study traditional computer vision since deep learning can handle anything more efficiently?   These are good questions. Deep learning (DL) has certainly revolutionized computer vision (CV) and artificial intelligence in general. So many problems that once seemed improbable to be solved are solved to a point where machines are obtaining better results than humans. Image classification is probably the prime example of this....

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Data mining is a big business. These times everything is analysed. Everyone is analysing mouse clicks, mouse movements, customer purchase patterns. Such analysis has proven to give profitable insights that are driving businesses further than ever before. Big companies such as google, amazon and Facebook are in heavy use of it. It is used to keep track of customers and feed the   Data can be mined...

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