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How Big Data Impacts The Finance And Banking Industries

Smart Data Collective

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. 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 141
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Why you should care about debugging machine learning models

O'Reilly on Data

Model debugging is an emergent discipline focused on finding and fixing problems in ML systems. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Interpretable ML models and explainable ML.

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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. from sklearn import metrics. from sklearn import metrics. This is to prevent any information leakage into our test set.

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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. Relative to extrinsic evaluations, intrinsic tests are quick.

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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. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. They can also create custom calculations and metrics, and build new data visualizations.