## Future Prospects of Machine Learning in Remote Sensing

Public and private organizations are equally excited about future prospects of machine learning (ML) and artificial intelligence (AI). Over last few years, we have been seeing so many success stories of machine learning applications in marketing, image classification, natural language processing (NLP). However, remote sensing is a field has not ... read more

## Decision Trees - Predict by Asking Questions

Decision tree is a supervised learning algorithm. It allows us to predict future outcome of a process by asking a series of dependent questions. Given historical data of the process, decision tree learns best set of questions to ask and the sequence in which those questions should be asked. Most ... read more

## What is Machine Learning?

Machine learning is a branch of artificial intelligence (AI) and deals with how to make computers learn (model of relationships, reasoning and analogies) from experience so that computers can act in a smarter way without being explicitly programmed. Machine learning is an interdisciplinary field which borrows techniques and methods from ... read more

## Object Detection with Sliding Window Algorithm

Object detection using sliding window has existed before recent rise of machine learning in computer vision. Like any machine learning algorithm, first requirement of sliding window algorithm is to prepare labeled training set. Imagine we want to build a car detection algorithm using sliding window. Our training images (X) will ... read more

## What is Landmark Detection in Computer Vision?

In image classification with localization, we train neural network to detect object and then localize by predicting coordinates of bounding box around it. Given input images, the output of such an algorithm would be a) probability of finding object, and b) if object exists, coordinates of bounding box ($b_{x}$, \$... read more