Reimagining Reinforcement Learning – Upside Down
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 ML applicati...
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AI and the future of work: Will Artificial Intelligence make us all into Polymaths in the future?
AI and the future of work is a major topic of discussion Most views on this subject are negative More broadly, the negative impact of technology has been highlighted b...
Predictive Analytics Techniques in One Picture
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 the mo...
Top NLP Algorithms & Concepts
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 form of mathematical...
Business Intelligence: Its Impact on the Pharmaceutical Industry
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 curve, to properly leverage t...
Which one is faster in multiprocessing, R or Python?
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. The recommendation is to use different kinds of lo...
A Question of Usability
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 data science ...
How is IoT Supporting Various Oil & Gas Industrial Operations?
The heightened technological development in the 21st century would not have been possible without the contribution from the oil & gas sector. Our dependence on the cr...
Seven differences between academia and industry for building machine learning and deep learning models
Academia and industry take different approaches to building machine learning and deep learning models Here are seven differences 1) Approach to accuracy: When you are in ...
Top 8 Data Science Use Cases in Production
Production sphere embraces a wide range of processes related to all branches and stages of creating material goods. In addition, these material goods may be of different ...