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Husna Sayedi Husna is a data scientist and has studied Mathematical Sciences at University of California, Santa Barbara. She also holds her master’s degree in Engineering, Data Science from University of California Riverside. She has experience in machine learning, data analytics, statistics, and big data. She enjoys technical writing when she is not working and is currently responsible for the data science-related content at TAUS.
by Husna Sayedi 18 Nov 2021
Google Research team has recently published a paper titled Data Cascades in High-Stakes AI. The six ..
by Husna Sayedi 4 Nov 2021
What is Explainable AI?  As AI is becoming more prominent in high-stakes industries like ..
by Husna Sayedi 4 Oct 2021
A machine learning algorithm uses data to learn and make decisions. The algorithm develops ..
by Husna Sayedi 4 Oct 2021
Training data is perhaps one of the most integral pieces of machine learning and artificial ..
by Husna Sayedi 4 Oct 2021
Training data is used in three primary types of machine learning: supervised, unsupervised, and ..
by Husna Sayedi 4 Oct 2021
The amount of training data you need depends on many variables - the model you use, the task you ..
by Husna Sayedi 4 Oct 2021
Data cleaning is an essential step in machine learning and takes place before the model training ..
by Husna Sayedi 4 Oct 2021
Training data can be sourced from many different places, depending on your machine learning ..
by Husna Sayedi 7 Sep 2021
What is Intent Recognition and Why is it Important?  As our society continues to rely on ..
by Husna Sayedi 7 Jun 2021
Sentiment analysis is a subfield of Natural Language Processing (NLP) where the general sentiment ..
by Husna Sayedi 1 Jun 2021
Perhaps the most pivotal step in your machine learning application is the data preparation phase. ..
by Husna Sayedi 29 Apr 2021
Machine learning (ML) is all around us. From your mail inbox spam detection, to text or document ..