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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

A 2013 survey conducted by the IBM’s Institute of Business Value and the University of Oxford showed that 71% of the financial service firms had already adopted analytics and big data. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. The Underlying Concept.

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Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data. Now that the class imbalance has been resolved, we can move forward with the actual model training. Model training. 0.01, 0.001] }.

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Data Science at The New York Times

Domino Data Lab

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

When running word2vec, you can choose between two underlying model architectures— skip-gram (SG) or continuous bag of words (CBOW; pronounced see-bo)— either of which will typically produce roughly comparable results despite maximizing probabilities from “opposite” perspectives. Note: Mikolov, T., arXiv:1301.3781].

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What Is Embedded Analytics?

Jet Global

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. Users’ varied needs require a shift in traditional BI thinking.