Data Science

Implementing Naive Bayes for Sentiment Analysis in Python

The Naive Bayes Classifier is a well known machine learning classifier with applications in Natural Language Processing (NLP) and other areas. Despite its simplicity, it is able to achieve above average performance in different tasks like sentiment analysis. Today we will elaborate on the core principles of this model and then implement it in Python.

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Intro to Classification and Feature Selection with XGBoost

I recently came across a new [to me] approach, gradient boosting machines (specifically XGBoost), in the book Deep Learning with Python by François Chollet. Chollet mentions that XGBoost is the one shallow learning technique that a successful applied machine learner should be familiar with today, so I took his word for it and dove in to learn more.

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PSYEC and NextSmarty Conference Call on Artificial Intelligence

On October 25th, 2018 AI Time Journal organized a conference call between the students of PSYEC engineering college and Hoa M. Le, lead data scientist at NextSmarty. The goal of the session was to allow the students to ask detailed technical questions about AI, Machine Learning and Deep Learning techniques. Mr. Hoa M. Le provided valuable insights

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