About Dipanjan Sarkar

Dipanjan Sarkar is a Data Science Lead at Applied Materials, a Google Developer Expert in Machine Learning, a published author, and an editor at Towards Data Science. Feel free to connect with him on LinkedIn.

Dipanjan Sarkar Posts (14)

• Robust Word2Vec Models with Gensim & Applying Word2Vec Features for Machine Learning Tasks - 17 Apr 2018
  
  The gensim framework, created by Radim Řehůřek consists of a robust, efficient and scalable implementation of the Word2Vec model.
• Implementing Deep Learning Methods and Feature Engineering for Text Data: The Skip-gram Model - 10 Apr 2018
  
  Just like we discussed in the CBOW model, we need to model this Skip-gram architecture now as a deep learning classification model such that we take in the target word as our input and try to predict the context words.
• Implementing Deep Learning Methods and Feature Engineering for Text Data: The Continuous Bag of Words (CBOW) - 03 Apr 2018
  
  The CBOW model architecture tries to predict the current target word (the center word) based on the source context words (surrounding words).
• Understanding Feature Engineering: Deep Learning Methods for Text Data - 28 Mar 2018
  
  Newer, advanced strategies for taming unstructured, textual data: In this article, we will be looking at more advanced feature engineering strategies which often leverage deep learning models.