Tech Corner

Q-learning stands out in machine learning as a pivotal technique that helps algorithms make optimal decisions by learning from their experiences. Introduction Imagine training a robot to navigate a maze. Now, think of teaching a computer to master chess. This is the realm where Q-learning becomes crucial. Q-learning doesn’t give machines specific instructions on decision-making. Rather, it lets them learn

Cross-validation is a technique used in machine learning to assess how well a model will generalize to an independent data set. What is Cross-Validation? Imagine you’re a teacher preparing a test for your students. You want to ensure that the test accurately reflects how well your students understand the material and not just how well they memorized specific questions you

Deep learning is attracting rapidly growing research and development in today’s world, where artificial intelligence is exponentially growing with newer breakthroughs by the day. What is Deep Learning? Deep Learning is one of the methodologies that is receiving a lot of attention. Deep Learning (DL) is a subset of Machine Learning that teaches computers to do what humans naturally do.

In machine learning, optimizing the learning models is a critical step. This is where Gradient Descent emerges as a central optimizing algorithm. What is Gradient Descent? Machine learning hinges on creating models that predict outcomes from various inputs. However, these models don’t start perfectly; they initially operate on random parameters, which are not ideal for making accurate predictions. Creating a