Model Compression using Knowledge DistillationMake your models leaner and meanerNov 29, 2023Nov 29, 2023
Loss Functions in Machine LearningExploring the most common loss functions in machine learningJun 26, 2023Jun 26, 2023
Taming the Tides of Drift in Machine LearningTypes of model drift in machine learning and ways to measure and monitor them.Jun 26, 2023Jun 26, 2023
Unlock the Power of AI: A Comprehensive Guide to Integrating OpenAI’s ChatGPT API in Jupyter…Transform the way you communicate with AI using OpenAI’s ChatGPT API in Jupyter Notebook.Feb 1, 2023Feb 1, 2023
Docker and MLOps: A Match Made in Tech HeavenUnleashing the Power of Docker for MLOps to Streamline Machine Learning DeploymentDec 24, 2022Dec 24, 2022
Git, GitHub and Beyond: A Beginner’s Guide to Mastering Version ControlList of basic git commands to clone and push repositoriesDec 10, 2022Dec 10, 2022
K-Means Simplified: A Beginner’s Guide to the K-Means AlgorithmA step-by-step approach to learning one of the simplest unsupervised clustering algorithmsJun 10, 2022Jun 10, 2022
Published inTowards Data ScienceSupport Vector Machines (SVM) and the Multi-Dimensional WizardryLearn the magic behind the kernel functions in SVMsMay 19, 2022May 19, 2022
Statistics and its MisapplicationsHow misapplication of statistical techniques leads to incorrect conclusions.Apr 30, 2022Apr 30, 2022
Published inTowards Data ScienceFeature Engineering — Unraveling the Mysterywhat is feature engineering, the problem it solves, and why it really mattersApr 28, 2022Apr 28, 2022
