Image Processing & classification is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. We start the course by learning Scikit Image for image processing which is the essential skill required and then we will do the necessary preprocessing techniques & feature extraction to an image like HOG. After that we will start building the project. In this course you will learn how to label the images, image data preprocessing and analysis using scikit image and python. Then we will train machine learning here we will see Stochastic Gradient Descenct Classifier for image classification and followed by model evaluation proces and pipeline the machine learning model.

Image Processing & classification is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. We start the course by learning Scikit Image for image processing which is the essential skill required and then we will do the necessary preprocessing techniques & feature extraction to an image like HOG. After that we will start building the project. In this course you will learn how to label the images, image data preprocessing and analysis using scikit image and python. Then we will train machine learning here we will see Stochastic Gradient Descenct Classifier for image classification and followed by model evaluation proces and pipeline the machine learning model.

This post is authored by Gopi Kumar, Principal Program Manager in the Data Group at Microsoft. This post covers our latest additions to the Microsoft Linux Data Science Virtual Machine (DSVM), a custom VM image on Azure, purpose-built for data science, deep learning and analytics. Offered in both Microsoft Windows and Linux editions, DSVM includes a rich collection of tools, seen in the picture below, and makes you more productive when it comes to building and deploying advanced machine learning and analytics apps. The central theme of our latest Linux DSVM release is to enable the development and testing of ML apps for deployment to distributed scalable platforms such as Spark, Hadoop and Microsoft R Server, for operating on data at a very large scale. In addition, with this release, DSVM also offers Julia Computing's JuliaPro on both Linux and Windows editions.