Akash DesardainTowards Data ScienceA complete guide to building a Docker Image serving a Machine learning system in ProductionA complete step-by-step guide for building a Docker image (GPU or CPU) along with explaining all best practices that should be followed…Feb 12, 20214Feb 12, 20214
Akash DesardainTowards Data ScienceWorking with Hugging Face Transformers and TF 2.0Models based on Transformers are the current sensation in the world of NLP. Hugging Face’s Transformers library provides all SOTA model…Apr 24, 20208Apr 24, 20208
Akash DesardainTowards Data ScienceBuild a Custom ResNetV2 with the desired depthThis tutorial will help you to build a ResNet model with any desired no of depth/layer.Apr 5, 2020Apr 5, 2020
Akash DesardainAnalytics VidhyaThe Journey from Development to Production Part 2: Project GovernanceProject Governance & compliance is the most important factor in developing any problem-solving ML System. Here I will share all the ToDos…Jan 22, 2020Jan 22, 2020
Akash DesardainAnalytics VidhyaThe journey from Development to Production Part 1: Building with ‘The Right Approach’This is a series on how to develop the ML system rapidly that too with maximum Production readiness. This will be a three-part series.Jan 22, 2020Jan 22, 2020
Akash DesardainTowards Data ScienceMLOps: The Upcoming Shining StarThe right path to building a full stack machine learning system. MLOps is the new emerging practise to streamline managing the ML…Jan 11, 20204Jan 11, 20204
Akash DesardainTowards Data ScienceBias -Variance & Precision-Recall Trade-offs: How to aim for the sweet spotHow to find sweet spot in Bias-Variance & Precision-Recall tradeoffs. Understanding all important parameters which play a major hand in it.Dec 21, 20182Dec 21, 20182
Akash DesardainTowards Data ScienceGetting Data ready for modelling: Feature engineering, Feature Selection, Dimension Reduction…Feature engineering, Feature Selection, Dimension Reduction (Part 2)Dec 13, 20182Dec 13, 20182
Akash DesardainTowards Data ScienceGetting Data ready for modelling: Feature engineering, Feature Selection, Dimension Reduction…Feature engineering, Feature Selection, Dimension Reduction (Part 1)Dec 10, 20184Dec 10, 20184
Akash DesardainGreyAtomLogistic Regression: Union between Regression and ClassificationDec 1, 2018Dec 1, 2018