Geospatial analysis is such an interesting field of technology that deals with latitude, longitude, locations, directions, and visualization of course. It is one of the most immersive fields to work in. Geospatial Machine Learning is also a trending field that involves building and training machine learning models for more complex tasks involving the Earth. In […]
Wondering how to remove noise and enhance your images? Keep reading. Image processing is a crucial technique for extracting information and enhancing image quality. The main tasks include image acquisition, restoration, enhancement, and segmentation. When we are talking about restoration and enhancement, there is one method we commonly use to remove the noise in the
3 Effective Methods for Applying Gaussian Filters to Images Read More »
MATLAB is one of the most valuable tools in this tech-driven era. From manipulating and monitoring signals to data visualization, MATLAB can be used for pretty much everything. Statistics is one such field that can be dealt with easily using MATLAB. In this tutorial, we are going to look at two essential functions of MATLAB
Image Processing is one of the most crucial tasks when dealing with images. It typically means manipulating images like converting the original image to grayscale, computing distance maps, performing segmentation, etc. One such cumbersome task is finding the distance map or distance transformation between two different regions of an image which will be used to
Python Equivalent to Matlab’s Bwdist: A Comprehensive Guide Read More »
MATLAB, an abbreviation for MATrix LABoratory, developed by MathWorks, is a high-performance programming language. It is mainly popular among scientists and engineers for its multi-paradigm functionality. Meaning, it can be used for many tasks involving Visual, Functional, and Object-Oriented. All the programs are saved with a .m extension. Although not free to use, their product
Python has widespread applications in this technological era. From being used in developing Machine Learning and Data Science applications to developing and accentuating the features of almost every popular game, Python does it all. Want to start with simple games in Python? One such popular card game is Blackjack. For those who enjoy card games
Python and Probability: Simulating Blackjack Card Counting with Python Code Read More »
Are you a pro gamer? A game enthusiast? A geek? If you are, you might have observed the use of random numbers in almost every game. A dice game is one of the finest examples of random number generation. Suppose you are playing this game with a machine online. You roll the dice and get
Exploring the Random Module: Generating Basic Random Numbers in Python Read More »
Machine Learning is one of the fastest-growing technologies in this tech-driven area, with a load of real-world applications. Treated as a sub-branch of Artificial intelligence (AI), Machine Learning is used to mimic human thinking in machinery. How can machines think like humans? Well, more or less, we humans are responsible for making machines think like
Google Colab is one of the most used online tools by machine learning and data sciences professionals, students, and enthusiasts. Google Colab is known to provide a collaborative environment to support programming in Python, C, C#, Java, HTML, and LaTeX. It is a Jupyter Notebook but hosted on the cloud, so we can use it
3 Approaches to Import .py Files in Google Colab Read More »
The human brain works in an amazing way. We remember those embarrassing moments and all those subjects we crammed into our school and college days. What if machines could also remember what we tell them (to some extent)? We already know we can build models that process our input and remember it for the following