url – entropy in decision trees Various machine-learning algorithms are being used everywhere. From being used to make decisions in business, to being used in Finance, Healthcare, and marketing industries to predict, classify, or detect any fraud or a potential disease and predict the popularity of a product based on past purchases, the concepts of […]
Decoding Entropy in Decision Trees: A Beginner’s Guide Read More »
Statistics and Mathematics are growing more and more crucial for understanding today’s high-end technologies such as Data Science and Machine Learning. Achieving a thorough understanding of these mathematics concepts is important to understand many complex algorithms easily. The binomial coefficient is one such concept of mathematics that can be used in many forms like permutations
Artificial Neural Networks or simply neural networks-NNs are being used by machine learning engineers for tasks so simple as classifying images using Convolutional Neural Networks(CNN) to using Recurrent Neural Networks (RNN) that can remember past information to deal with time series data. Ever wondered what constitutes these complex architectures? Just as their names suggest(‘neurons’), these
Machine Learning and Deep Learning are all about trying to learn and mimic human behavior. It is underrated to say that these technologies are inspired by the working of the human brain to perform complex tasks like finding treatments for diseases(this did happen recently) to autonomous driving cars which we humans never anticipated to happen.
Complete Guide to the Perceptron Algorithm in Machine Learning Read More »
The applications of machine learning are endless. Predicting the price of a house or a product(regression), and classifying the customer’s reviews into positive or negative(classification), to even more advanced techniques like anomaly detection, and machine learning algorithms are being used everywhere. When it comes to machine learning algorithms, these can be briefly divided into supervised
Understanding One-Class SVM for Anomaly Detection Read More »
With the advancements and developments in artificial intelligence and machine learning, it is vital to build and deploy the right models that are considered industry standard and perform well with the best accuracy. Model building or training is a crucial task, but so is assessing the performance of these models right? How would we know
Deep Learning is one of the most happening technologies with recent developments such as deepfake and autonomous vehicles. In this post, we will understand the crucial elements of building these deep learning models. You are all done building your model and want to test if the model is working as expected. Loss Functions are of
Signal processing is a technique that refers to the manipulation and analysis of signals, often the representations of physical data. A signal can take any form; we have audio signals, electrical signals, and image signals. Since there are different signals, the applications of signal processing are also widespread. In the case of audio signal processing,
Comparing Bandpower in MATLAB and Python Using Numpy Read More »
Visual Studio Code (commonly known as VS Code), is an integrated development environment(IDE) used by many developers and programmers worldwide. It first came into existence in 2015, introduced by Microsoft. In the recent survey conducted by Stack Overflow, VS Code stands at the top of the most popular development tools used in 2023. It comes
How to Clear the VS Code Terminal: 4 Effective Methods Read More »
Testing and debugging are crucial when it comes to building a code and maintaining it. While they are used on a large scale in developing and making projects in the industry, we also use them daily on a small scale. When we have any potential error in the code that can cause the execution to
2 Approaches to Using Assert to Validate the Type of Variable Read More »