Open in app

Sign In

Write

Sign In

Subir Verma
Subir Verma

242 Followers

Home

About

Published in

MLearning.ai

·Pinned

Transformer-based Sequential Denoising Auto-Encoder: Job2Vec

Using TSDAE to convert Job descriptions into Vector for Job Search TSDAE is a strong domain adaptation and pre-training method for sentence embeddings, significantly outperforming other approaches like Masked Language Model. TSDAE trains sentence embeddings by adding a certain type of noise (e.g. deleting or swapping words) to input sentences…

NLP

4 min read

Transformer-based Sequential Denoising Auto-Encoder: Job2Vec
Transformer-based Sequential Denoising Auto-Encoder: Job2Vec
NLP

4 min read


Published in

MLearning.ai

·Pinned

Semantic Search with S-BERT is all you need

Building In-house Semantic Search Engine from Scratch — Fast and Accurate — Bloomberg - Semantic search is a data searching technique in which a search query aims to not only find keywords but to determine the intent and contextual meaning of the words a person is using for a search. Semantics refers to the philosophical study of meaning. It’s true that philosophy…

Semantic Search

14 min read

Semantic Search with S-BERT is all you need
Semantic Search with S-BERT is all you need
Semantic Search

14 min read


Published in

MLearning.ai

·Mar 25, 2022

Event-Driven Microservices in Data Science

Event-driven microservices communicate with each other via event messages. When business events occur, producers publish them with messages. At the same time, other services consume them through event listeners. Thus, the main benefits of event-driven systems are asynchronous behavior and loosely coupled structures. For example, instead of requesting data when…

Data Science

3 min read

Event-Driven Microservices in Data Science
Event-Driven Microservices in Data Science
Data Science

3 min read


Published in

MLearning.ai

·Dec 1, 2021

Personalization and Recommendation with Contextual Bandits 🤖

Simulate a content personalization scenario with Vowpal Wabbit using contextual bandits to make choices between actions in a given context. INTRODUCTION Recommending relevant and personalised content to users is crucial for media services providers, e-commerce platforms, content based platforms etc. Indeed, effective recommender systems improve the users’ experience and engagement on…

Reinforcement Learning

11 min read

Personalization and Recommendation with Contextual Bandits 🤖
Personalization and Recommendation with Contextual Bandits 🤖
Reinforcement Learning

11 min read


Published in

MLearning.ai

·Oct 18, 2021

Behavior Sequence Transformer

** Paper Study of Alibaba’s SOTA RecSys ** In this blog, I would try to explain some key concepts of BST and what factors in this can be a game-changer. If you are not familiar with transformer-based architecture then I would recommend reading this article: The Illustrated Transformer. Overview The sequential…

Recommended Reading

4 min read

Behavior Sequence Transformer
Behavior Sequence Transformer
Recommended Reading

4 min read


Published in

MLearning.ai

·Jul 5, 2021

Search, Rank, and Recommendations

Easy way to re-rank search results and personalized recommendations. — This post is in continuation of my previous post “ Semantic Search with S-BERT is all you need” Semantic Search with S-BERT is all you need Building In-house Semantic Search Engine from Scratch — Fast and Accuratemedium.com What we covered in the previous post: Types of search: Asymmetric & Symmetric Dot Product and Cosine Product Based models

NLP

8 min read

Search, Rank, and Recommendations
Search, Rank, and Recommendations
NLP

8 min read


Published in

MLearning.ai

·Jun 23, 2020

Adversarial Validation: Battling Overfitting

Introduction In the process of a model building, overfitting drains out a lot of effort. Diagnosing overfitting in data is sometimes obvious where your training data performance is far better than validation but not always. Especially in a production environment, understanding the root cause of failure becomes hectic and time-consuming. We…

Machine Learning

6 min read

Adversarial Validation: Battling Overfitting
Adversarial Validation: Battling Overfitting
Machine Learning

6 min read


Published in

MLearning.ai

·Jun 11, 2020

Text Pre-Processing: Smart Way

Overview In this post, we will be discussing some quick and short tricks which are very effective and powerful and can save you a lot of time struggling in-text cleansing process. Problems in text pre-processing Making sense out of textual data is a tricky job and dirty text makes it a lot more troublesome. All…

NLP

5 min read

Smart Text Pre-Processing
Smart Text Pre-Processing
NLP

5 min read

Subir Verma

Subir Verma

242 Followers

Principal Data Scientist @Tokopedia | https://topmate.io/subir_verma

Following
  • Dr. Varshita Sher

    Dr. Varshita Sher

  • HackerEarth

    HackerEarth

  • Daniel Tunkelang

    Daniel Tunkelang

  • Pinterest Engineering

    Pinterest Engineering

  • Sophia Yang

    Sophia Yang

See all (98)

Help

Status

Writers

Blog

Careers

Privacy

Terms

About

Text to speech