PinnedShashank KapadiainTowards Data ScienceEvaluate Topic Models: Latent Dirichlet Allocation (LDA)A step-by-step guide to building interpretable topic modelsAug 19, 201927Aug 19, 201927
PinnedShashank KapadiainTowards Data ScienceRecommendation System in Python: LightFMA Step-by-Step guide to building a recommender system in Python using LightFMFeb 26, 20201Feb 26, 20201
PinnedShashank KapadiainTowards Data ScienceDomain Adaptation: Fine-Tune Pre-Trained NLP ModelsA step-by-step guide to fine-tuning pre-trained NLP models for any domainJul 4, 20231Jul 4, 20231
Shashank Kapadiain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨Getting Started with Transformers in NLP: An IntroductionIntroduction to NLP and Transformers, history and evolution, and importanceApr 15Apr 15
Shashank KapadiainTowards Data SciencePractical Introduction to Transformer Models: BERTHands-on tutorial on how to build your first sentiment analysis model using BERTJul 17, 2023Jul 17, 2023
Shashank Kapadiain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨The Evolution of Natural Language ProcessingA Historical Perspective on the Development of Language ModelsJun 12, 2023Jun 12, 2023
Shashank Kapadiain𝐀𝐈 𝐦𝐨𝐧𝐤𝐬.𝐢𝐨The Future of Search Engines and Recommender Systems with the Advent of LLMsUnraveling the Potential of AI-driven Language Models in Transforming Search and Content DiscoveryMay 1, 20231May 1, 20231
Shashank KapadiainTowards Data Science5 Data Similarity MetricsUnderstanding Similarity Metrics in Data Analysis and Machine Learning: A Comprehensive GuideDec 27, 20221Dec 27, 20221
Shashank KapadiainTowards Data Science6 Steps towards a Successful Machine Learning Projectfrom a proof of concept to production and in betweenAug 3, 2022Aug 3, 2022
Shashank KapadiainTowards Data ScienceTopic Modeling in Python: Latent Dirichlet Allocation (LDA)How to get started with topic modeling using LDA in PythonApr 15, 201915Apr 15, 201915
