Megha NatarajanUnderstanding Convolutional Neural Networks (CNNs) IntuitivelyConvolutional Neural Networks (CNNs) are a class of deep learning algorithms that have shown excellent performance in various visual…Apr 25Apr 25
Megha NatarajanReinforcement Learning: An Intuitive Guide with Python Code ImplementationReinforcement Learning (RL) is an area of machine learning that focuses on how agents should take actions in an environment to maximize…Apr 24Apr 24
Megha NatarajanIntuitively understanding the different Logistic Regression Solvers and the effect of Random_State…Logistic regression is a staple in the toolbox of data scientists and machine learning practitioners. It’s simple yet powerful, offering a…Mar 29Mar 29
Megha NatarajanVisual Intuition behind Principal Component AnalysisWelcome back to another deep dive into the intuition behind Machine Learning. Today, we will gain a visual intuition behind Principal…Mar 8Mar 8
Megha NatarajanDecoding Drift and Skew in Machine Learning: Understanding the Key DifferencesNov 12, 2023Nov 12, 2023
Megha NatarajanIntuition behind the Different Feature Columns in TensorFlowTensorFlow’s feature columns provide a powerful way to handle a variety of data types when building machine learning models. They act as…Nov 10, 2023Nov 10, 2023
Megha NatarajanWhat is Training-Serving Skew, and how can it be prevented on Google Cloud Platform?Training-serving skew is a phenomenon that can occur in machine learning models, where the performance of a model during training differs…Nov 10, 2023Nov 10, 2023
Megha NatarajanUnderstanding Different Neural Network Optimizers with Visual IntuitionNov 8, 2023Nov 8, 2023
