Complete Hands-Off Automated Machine Learning
Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as fast ...
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Bayesian Machine Learning Part 5
Bayesian Machine Learning (part -5) Introduction: Expectation-Maximization In this blog we are going to see how Expectation-maximization algorithm works very closely. Thi...
Major Factors Keeping Facial Recognition from Mass Adoption
Artificial Intelligence and Machine Learning are accelerating and refining various industries. One of the most rapidly developing and progressive domains is Facial Recogn...
Scraping Nasdaq news using Python
Stock trading has one of the most complex and complicated dynamics in the present day world. In today’s time, multiple algorithms and researches have been produced to u...
Constructing Role Objects and Interpreting Role Conflicts Through the Lens of Stress
In my previous post, I discussed the relationship between role conflict and performance. I suggested that all things being equal, role conflict might be the primary det...
Making maps to visualize census data
Visualizing census data could not be easier thanks to few great packages in R. Not that in Python you could not do spatial analysis/visualization of census data, but ce...
Nowcasting Chicago Crime with Python-Pandas, and R.
In my many years as a data scientist, I’ve spent more time doing forecast work than any other type of predictive modeling. Often as not, the challenges have involve...
Can AI detect emotions better than humans?
Introduction “The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions”. Marvin Min...
Excel Cheat Sheet
This 12-page document lists hundreds of Excel functions and formulas, covering Lookup/Ref Functions String/Text Functions Date/Time Functions Math/Trig Functions Statis...
Time series, Growth Modeling and Data Science Wizardy
Many times, complex models are not enough (or too heavy), or not necessary, to get great, robust, sustainable insights out of data. Deep analytical thinking may prove mor...