6 Reasons to Learn R for Data Science
Learning R programming language for data science is essential and could spell the difference between succeeding and failing at a career in this field. The big question, however, is why …
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What is Mobile Intelligence? And How AI is Powering Mobile Intelligence?
Artificial Intelligence is considered the modern era of innovation that has transformed the digital age. Smartphones are already an example of how our mobile devices have become more intelligent and …
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How To Leverage Deep Learning Cognitive Computing For Cybersecurity?
Cybercrime has been the most prevalent issue among others in cyberspace and it has been costing a fortune for many enterprises and firms. Cybersecurity issues have grown more than they …
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Interview with Evan Shellshear, Head Of Analytics at Biarri
Evan Shellshear is the Head Of Analytics at Biarri, a company that applies advanced mathematical approaches to solve a wide variety of business problems. In this interview, Mr. Shellshear deconstructs …
Read MoreHow To Make Data Analytics Simpler And Better At The Same Time
Imagine how much better a business could perform after its employees removed their collective blindfold. This is not to say that the world’s workforce is literally going about its …
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Interview with Dr. Alain Briançon, Chief Technology Officer and VP Data Science of Cerebri AI
Dr. Alain Briançon is the Chief Technology Officer and VP Data Science of Cerebri AI, an AI platform company that helps enterprises better understand what their customer needs are through …
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General guidelines for Data Science Career
Whether you are a student gearing up for a Career in Data Science/Machine Learning or a person transitioning into this field, you need to follow some general guidelines and they …
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Complete Tutorial on Named Entity Recognition (NER) using Python and Keras
Let’s say you are working in the newspaper industry as an editor and you receive thousands of stories every day. How will you find the story which is related to …
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Introduction to Conditional Random Fields (CRFs)
CRF is intended to do the task-specific predictions i.e. we have the input X (vector) and predict the label y which are predefined. CRF is a probabilistic discriminative model that …
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