A blog of Machine Learning and AI

  • The Emergence of Convolution

    The Emergence of Convolution

    Feature Extraction Conventional Feature Extraction Techniques The two most historically-important, manual feature extraction techniques have been: HOG SIFT HOG mainly focuses on thestructure and shape of anobject. In SIFT, image content is convertedinto local feature coordinates that arenot affected by rotation, scaling, orother image manipulations HOG is different from onlydetecting edges, as it alsoidentifies the…

  • Color Pixel Theory and Image Represention

    Color Pixel Theory and Image Represention

    2. Representation of Images 3. PIL (Python Imaging Library) Basics of Images Images have three major components: Size This represents the height andwidth of an image. It is usuallymeasured by number of pixels. Color Space This represents the differentpossible color spaces, likeGrayscale, RGB, HSV. The imageof the duck on the right isrepresented in RGB color…

  • What is Computer Vision?

    What is Computer Vision?

    Introduction to Computer Vision Use Cases for Computer Vision Autonomous Vehicles Retail Healthcare Smartphone Camera Applications Augmented Reality & Virtual Reality Banking, Financial Services & Insurance

  • Working with Images using OpenCV

    Working with Images using OpenCV

    Working with Images using OpenCV OpenCV stands for Open Source Computer Vision. In this notebook we will learn to use the OpenCV library. You can find out more about the OpenCV library here. OpenCV Here we will cover the following topics: We would encourage you to first go through the functions and operations discussed below, and then…

  • What is Deep Learning ?

    What is Deep Learning ?

    We have seen how computers learn from data and help us make business decisions. Deep learning is a broader part of machine learning based on artificial neural networks that assist in solving complex problems. We are able to recognize images, voices, and facial expressions through complex mechanisms, and it shows incredible success in training such…

  • How to upload a datafile in Google Colab?

    Please follow the below steps to upload the files to Google Colab: 1. Open your drive, create a folder, and upload the dataset and notebook in the folder as shown in the below image. 2. Now right-click on the notebook to open the notebook in Google Colab as shown below After opening the notebook, you will…

  • Announcing OverflowAI

    Today marks the beginning of a new and exciting era for Stack Overflow. We are announcing our roadmap for the integration of generative AI into our public platform, Stack Overflow for Teams, and brand new product areas, like an IDE integration that brings the vast knowledge of 58 million questions and answers from our community…

  • Introduction to Deep Neural Networks

    Introduction to Deep Neural Networks

    1) What is a Neural Network? Neural Networks replicate the way humans learn, inspired by how the neurons in our brains fire, only much simpler. The most common Neural Networks consist of three network layers:  Each sheet contains neurons called “nodes,” performing various operations. Neural Networks are used in deep learning algorithms like CNN, RNN, GAN,…

  • Technical Support Data Analysis

    Technical Support Data Analysis Technical support data can often be a rich source of information on opportunities for improving customer experience. The lesser the trouble customers have with the product the better. Even better when the customers are able to overcome technical challenge quickly with minimal effort. Let us analyze the tech support data and…

  • Ensemble Technique

    Artificial Intelligence and Machine Learning Ensemble Technique – Visit with Us Travel Package Purchase Prediction Note: This is a sample solution for the project. Projects will NOT be graded on the basis of how well the submission matches this sample solution. Projects will be graded on the basis of the rubric only. Problem Statement Context…

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