Three Steps For A Successful Machine Learning Project
Three less-technical tips for a more successful journey into machine learning As people and companies venture into machine learning (ML), it is common for some to expect to dive right …
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3 Steps To Build A Data Science Portfolio
To Ultimately Land Your Dream Job Few months ago I wrote an article — How To Go Into Data Science? to answer some of the most common questions and challenges faced by …
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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 …
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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 …
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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 …
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Reinforcement Learning – The Art of Interactive Learning
Want a treat? Just read on for a few minutes! I intend to jot down a holistic yet fun view of Reinforcement Learning. It is that branch of machine learning …
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Top 5 AI courses on Udemy
Update April 2020: Have a look at our most recent article on the best data science and machine learning courses. Open new doors by learning the skills of the future …
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