What is ADAGrad and How Does it Relate to Machine Learning
Why it matters: AdaGrad (Adaptive Gradient) is an optimization algorithm used in the field of machine learning and deep learning.
Aayush Mittal
Graduate of IIT Kharagpur with a background in software development, proficient in Machine Learning and Deep Learning techniques. Over the past five years, I have contributed to more than 50 projects across various software engineering domains, with a strong emphasis on AI/ML. Additionally, I have a keen interest in Natural Language Processing.
What are Recurrent Neural Networks (RNNs)?
Why it matters: Recurrent Neural Networks (RNNs) are artificial neural networks designed to process sequence data by maintaining an internal state.
Keras Loss Functions Used in Machine Learning: An In-depth Guide
Why it matters: In this article let’s learn about Keras loss function, how it impacts deep learning architecture and its applications in real life scenarios.
How Batch Normalization Can Make Neural Networks Faster
Why it matters: Batch normalization standardizes inputs to network layers, enabling faster training, better model performance, and inherent regularization.
What is Neural Architecture Search and How Does it Work in Machine Learning?
Why it matters: Neural architecture search helps in automating the process of creating neural network structures, helping us create high-performing models.
Introduction to Radial Bias Function Networks
Why it matters: Radial bias function networks have become popular in applications such as pattern recognition, approximation, and time series prediction.
What is Bayesian Optimization and How is it Used in Machine Learning?
Why it matters: Let us dive into the world of Bayesian Optimization, exploring its practical uses, especially when it comes to fine-tuning parameters in ML.
What is Univariate Linear Regression? How is it Used in AI?
Why it matters: Univariate linear regression, specifically, focuses on predicting the dependent variable using a single independent variable.
What is Adversarial Machine Learning?
Why it matters: What is Adversarial Machine Learning? ML/DL models are vulnerable to security threats arising from the adversarial use of AI.
