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This article was written by Bob Hayes. Data science requires the effective application of skills in a variety of machine learning areas and techniques. A… Read More »A Majority of Data Scientists Lack Competency in Advanced Machine Learning Areas and Techniques

Summary:  For all the hype around winning game play and self-driving cars, traditional Reinforcement Learning (RL) has yet to deliver as a reliable tool for… Read More »Reimagining Reinforcement Learning – Upside Down

  AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact… Read More »AI and the future of work: Will Artificial Intelligence make us all into Polymaths in the future?

Predictive analytics is a wide field of techniques that share a common goal of predicting future behavior. Choosing the right prediction modeling method is perhaps… Read More »Predictive Analytics Techniques in One Picture

Today, one of the most popular tasks in Data Science is processing information presented in the text form. Exactly this is text representation in the… Read More »Top NLP Algorithms & Concepts

Since data is now omnipresent, it has become critical for any business looking to not only remain competitive but also stay far ahead of the… Read More »Business Intelligence: Its Impact on the Pharmaceutical Industry

This post is the third one of a series regarding loops in R an Python. The first one was Different kinds of loops in R.… Read More »Which one is faster in multiprocessing, R or Python?

Thinking of data science as merely a technical profession, like programming, may take you away from your goals. Focusing on the usability of mathematics for… Read More »A Question of Usability