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…9 min read·Feb 12, 2021--3--3
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…7 min read·Apr 24, 2020--8--8
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.5 min read·Apr 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…7 min read·Jan 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.5 min read·Jan 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…6 min read·Jan 11, 2020--4--4
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.9 min read·Dec 21, 2018--2--2
Akash DesardainTowards Data ScienceGetting Data ready for modelling: Feature engineering, Feature Selection, Dimension Reduction…Feature engineering, Feature Selection, Dimension Reduction (Part 2)10 min read·Dec 13, 2018--2--2
Akash DesardainTowards Data ScienceGetting Data ready for modelling: Feature engineering, Feature Selection, Dimension Reduction…Feature engineering, Feature Selection, Dimension Reduction (Part 1)6 min read·Dec 10, 2018--4--4
Akash DesardainGreyAtomLogistic Regression: Union between Regression and Classification7 min read·Dec 1, 2018----