Anah VeronicainNerd For TechHow to create tensorflow tfrecords out of any dataset:A complete step by step tutorial for absolute beginners with example4 min read·Jan 23, 2021--1--1
Anah VeronicainThe StartupA Gentle Introduction to Backpropagation and Implementing Neural Network AnimationAt its core, a neural network is an algorithm that was designed to learn patterns in real-life data and make predictions. An important…5 min read·Jan 15, 2021----
Anah VeronicaActivation functions: Why are they important and how to use them?Activation Functions:8 min read·Jan 3, 2021----
Anah VeronicainAnalytics VidhyaUnderstanding Gradient Descent and breaking down the math behind:Gradient descent is a widely used optimization algorithm used by a range of machine learning algorithms. Machine learning algorithms have…9 min read·Jun 9, 2020----
Anah VeronicainDataDrivenInvestorUnderstanding Adaboost and Scikit-learn’s algorithm:Ensemble models and more particularly Boosting algorithms have become quite popular on online data science competition forums like Kaggle…9 min read·May 15, 2020--1--1
Anah VeronicainAnalytics VidhyaEnsemble Learning Methods in Machine Learning:Ensemble learning is a compelling technique that helps machine learning systems improve their performance. The technique gained a lot of…7 min read·May 13, 2020----
Anah VeronicainAnalytics VidhyaLogistic Regression: Understand the math behind the algorithmLogistic regression is a supervised binary classification algorithm. What that means is that the target value that we want to predict has…4 min read·Apr 20, 2020----
Anah VeronicainDataDrivenInvestorTypes of Distance Metrics and Using User Defined Distance metrics in Scikit’s KNN Algorithm:KNN algorithm is one of the most commonly used and important algorithms in data science. It is a supervised classification algorithm…6 min read·Apr 18, 2020----