Branch of Machine Learning dealing with Supervised Learning.
Today, we’re exploring the differences between heuristic algorithms and machine learning algorithms, two powerful tools that can help us tackle complex challenges in the complex world that we live in. In a nutshell, heuristic algorithms are like shortcuts to finding…
In this blog post, we’ll dive deep into the fascinating world of machine learning frameworks – We’ll explore two famous and influential players in this arena: TensorFlow Lite and PyTorch Lightning. While they may seem like similar tools at first…
One of the most important things in machine learning is evaluating how well your model is doing. Two important metrics for this are accuracy and precision. Sometimes, a machine learning model might have high accuracy but low precision. This can…
Data Science is a field of study that uses mathematics, statistics, and computer science to analyze and make sense of large amounts of data – which is perfect since it can also be used to improve simulations. Think of a…
Have you ever trained a machine learning model and been really excited because it had a high accuracy score on your training data.. but disappointed when it didn’t perform as well on your test data? (We’ve all been there) This is a…
Validation Accuracy, in the context of machine learning, is quite a weird subject, as it’s almost the wrong way of looking at things. You see, there are some particular deep-learning problems (neural networks) where we need an extra tool to…
In time series analysis, selecting the right model for forecasting can be challenging. Two popular models often competing for the spotlight are Vector Autoregression (VAR) and Autoregressive Integrated Moving Average with Exogenous Variables (ARIMAX). Both models have their unique strengths,…
If you’re trying to understand the main differences between lasso regression and PCA – you’ve found the right place. In this article, we will go on a thrilling journey to learn about two cool data science techniques: Lasso Regression and…
A good accuracy score in machine learning depends highly on the problem at hand and the dataset being used. High accuracy is achievable in some situations, while a seemingly modest score could be outstanding in others. Many times, good accuracy…
I’ll be honest; choosing the right algorithm for machine learning can be one of the most challenging parts of our jobs. Don’t worry; we’re here to help. In this article, we’ll be breaking down the process of selecting the perfect…