### Semantic Roles according to Word2Vec

Semantic Roles according to Word2Vec Figure 1. Scatter plot of word embedding coordinates (coordinate #3 vs. coordinate #10). You can see that semantically related words […]

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# Analytic

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Semantic Roles according to Word2Vec

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Finding insights with graph analytics

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Who cares if unsupervised machine learning is supervised learning in disguise?

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Run Deep learning models for free using google colaboratory

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Graph-based intelligence analysis

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Invitation to Join Data Science Central

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High Precision Computing in Python or R

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Linear Models Don’t have to Fit Exactly for P-Values To Be Accurate, Right, and Useful

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Type I and Type II Errors in One Picture

Semantic Roles according to Word2Vec Figure 1. Scatter plot of word embedding coordinates (coordinate #3 vs. coordinate #10). You can see that semantically related words […]

Finding insights with graph analytics From detecting anomalies to understanding what are the key elements in a network, or highlighting communities, graph analytics reveal information […]

Who cares if unsupervised machine learning is supervised learning in disguise? Previously, we saw how unsupervised learning actually has built-in supervision, albeit hidden from the […]

Run Deep learning models for free using google colaboratory What is Google Colab: We all know that deep learning algorithms improve the accuracy of AI […]

Graph-based intelligence analysis For decades, the intelligence community has been collecting and analyzing information to produce timely and actionable insights for intelligence consumers. But as […]

Invitation to Join Data Science Central Join the largest community of machine learning (ML), deep learning, AI, data science, business analytics, BI, operations research, mathematical […]

High Precision Computing in Python or R Here we discuss an application of HPC (not high performance computing, instead high precision computing, which is a […]

Linear Models Don’t have to Fit Exactly for P-Values To Be Accurate, Right, and Useful There is no need to get confused with multiple linear […]

Type I and Type II Errors in One Picture This picture speaks more than words. It explains the concept or false positive and false negative, […]

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