AWS Machine Learning Blog

APRIL 6, 2023

We observed during the exploratory data analysis (EDA) that as we move from micro-level sales (product level) to macro-level sales (BL level), missing values become less significant. For example, in the 2019 WAPE value, we trained our model using sales data between 2011–2018 and predicted sales values for the next 12 months (2019 sale).

Machine Learning 110

Machine Learning Machine Learning ML ML 110

Heartbeat

MARCH 22, 2023

RoBERTa: A Modified BERT Model for NLP — by Khushboo Kumari An open-source machine learning model called BERT was developed by Google in 2018 for NLP, but this model had some limitations, and due to this, a modified BERT model called RoBERTa (Robustly Optimized BERT Pre-Training Approach) was developed by the team at Facebook in the year 2019.

Natural Language Processing 40

Natural Language Processing EDA Machine Learning Machine Learning 40

DrivenData Labs

DECEMBER 7, 2023

Amongst other ML competitions, I have been in a prize-winning position for NASA SOHO comet search, NOAA Precipitation Prediction (Rodeo 2), the Spacenet-8 flood detection, and 2019 IEEE GRSS data fusion contest. I have 2 years of experience in data analysis and over 3 years of experience in developing deep learning architectures.

Natural Language Processing 130

Natural Language Processing Clustering Data Science Data Analysis 130