Published inTDS ArchiveWordPiece: Subword-based tokenization algorithmUnderstand subword-based tokenization algorithm used by state-of-the-art NLP models — WordPieceAug 18, 20211Aug 18, 20211
Published inTDS ArchiveByte-Pair Encoding: Subword-based tokenization algorithmUnderstand subword-based tokenization algorithm used by state-of-the-art NLP models — Byte-Pair Encoding (BPE)Aug 13, 20217Aug 13, 20217
Published inTDS ArchiveWord, Subword, and Character-Based Tokenization: Know the DifferenceThe differences that anyone working on an NLP project should knowJul 1, 20212Jul 1, 20212
Published inTDS ArchiveUse the Datasets library of Hugging Face in your next NLP projectA quick guide to use Hugging Face’s datasets library!Jun 9, 2021Jun 9, 2021
Bar Chart or Histogram ?They look so alike, yet so different. Let’s find out the differences!Apr 26, 2021Apr 26, 2021
Published inTDS ArchiveSampling Techniques in StatisticsA light introduction to different sampling techniques in statisticsApr 14, 20211Apr 14, 20211
Published inTDS ArchiveCIFAR 100: Transfer Learning using EfficientNetTransfer learning using state-of-the-art EfficientNet-B0Mar 30, 20212Mar 30, 20212
Published inTDS ArchiveText pre-processing: Stop words removal using different librariesA handy guide about English stop words removal in Python!Feb 10, 20214Feb 10, 20214
Published inTDS ArchiveNull and Alternate Hypothesis… in simple plain English! Let’s get the basics clear.Jan 31, 20212Jan 31, 20212
Published inTDS ArchiveIndependent and Identically DistributedWhat does this phrase mean? Why do we see this almost everywhere?Jan 17, 20215Jan 17, 20215
Published inTDS ArchiveCIFAR-100: Pre-processing for image recognition taskPre-processing or data preparation of a popular image dataset — CIFAR-100Jan 1, 20212Jan 1, 20212
Published inTDS ArchiveObservational vs Experimental StudyIs your statistical study observational or experimental? Let us find out.Dec 5, 20205Dec 5, 20205
Published inTDS ArchiveMulticollinearity — Why is it bad?Multicollinearity: What is it all about and why does it matter?Nov 29, 20202Nov 29, 20202
Published inTDS ArchiveNumber of Parameters in a Feed-Forward Neural NetworkCalculating the total number of trainable parameters in the feed-forward neural network by handSep 15, 20204Sep 15, 20204
Published inTDS ArchiveWhat and why behind fit_transform() vs transform() in scikit-learn !Scikit-learn is the most useful library for machine learning in Python programming language. It has a lot of tools to build a machine…Aug 25, 202057Aug 25, 202057