As freshers and early Data Science and AI career aspirants, this series will help you prepare better for your upcoming roles and interviews. It provides a clear and concise explanation of key concepts, related to Accuracy in Machine Learning and
Tag: Data Science
In this document, we explored the application of Machine Learning (ML) in credit risk management, focusing on the development of Early Warning Systems (EWS). These systems are designed to detect early signs of credit deterioration, enabling proactive risk mitigation. Traditional
Today in this article I will explore the fascinating evolution of Generative AI, from its early roots in rule-based systems to the current era of sophisticated deep learning models. We will trace key milestones and technologies, highlighting how AI has
In this exploration of the data landscape, we embark on a journey through the staggering growth of global data generation. The sheer magnitude of information created in 2024, reaching a projected 140 zettabytes, underscores the exponential nature of this phenomenon.
Today in this document I will explain the concept of recall using a confusion matrix and outlines situations where recall should be prioritized, such as in healthcare diagnostics, fraud detection, and imbalanced datasets. I will also discuss instances where recall
Generative AI-powered code autocompletion tools offer significant benefits to developers, including increased productivity, reduced errors, and faster learning. However, it’s crucial to be mindful of the potential challenges, such as over-reliance on AI, code quality issues, and security risks. By
Today I will focus on the concept of Precision in data science, particularly in the context of classification models. In the document that I am sharing, outlines when to use precision (when false positives are costly or high confidence in
Generative Adversarial Networks (GANs) are quite important in the field of Generative AI. They have revolutionized how we create and understand synthetic data. GANs have opened up new possibilities in AI, making them a crucial component of generative modeling. Today
Accuracy a widely used parameter in Machine Learning model, can be interpreted wrongly sometime. High Accuracy doesn’t alway indicate a strong model. In this article I will talk about when and when not to use Accuracy. Also I will share
As we come together to celebrate Independence Day, it’s a perfect time to reflect on the incredible journey our nation has undertaken since August 15, 1947. On this day, 78 years ago, India embraced freedom, thanks to the relentless efforts