Published inTDS ArchiveShould I train a model for each customer or use one model for all of my customers?In this post, I’m going to share 4 different strategies for dealing with the multi-tenancy problem in machine learningAug 18, 2021A response icon8Aug 18, 2021A response icon8
Published inBigPanda EngineeringExploratory Data Analysis for Text DataIn this blog post, I’m going to review several methods to get to know you textual data with code examples:)Mar 17, 2020A response icon3Mar 17, 2020A response icon3
Published inTDS ArchiveMy Best Tips for Agile Data Science ResearchHow to bring maximum value in minimal timeJan 23, 2019A response icon4Jan 23, 2019A response icon4
Published inTDS ArchiveTop Examples of Why Data Science is Not Just .fit().predict()In this post, I’m going to review some of the top concepts I learned that turned me from a technical data scientist to a good data…Dec 11, 2018A response icon7Dec 11, 2018A response icon7
Published inTDS ArchiveLessons Learned from Applying Deep Learning for NLP Without Big DataIn this post I will show some methods I found on articles,blogs,forums,Kaggle and more in order to make deep learning work without big dataOct 24, 2018A response icon11Oct 24, 2018A response icon11
Published inYellowBlogUnsupervised sentence representation with deep learningIn recent years, the field of natural-language processing (NLP) has gained a major boost in performance thanks to the technique of…Apr 8, 2018A response icon3Apr 8, 2018A response icon3
Using categorical data in machine learning with python: from dummy variables to Deep category…Part 2- Advenced methods for using categorical data in machine learningSep 24, 2017A response icon3Sep 24, 2017A response icon3
Using categorical data in machine learning with python: from dummy variables to Deep category…Part 1 — Basic methodsSep 19, 2017A response icon11Sep 19, 2017A response icon11
