Remove 2013 Remove Machine Learning Remove Predictive Modeling
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Why you should care about debugging machine learning models

O'Reilly on Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

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

Domino Data Lab

In this article, we’ll discuss the challenge organizations face around fraud detection, how machine learning can be used to identify and spot anomalies that the human eye might not catch. Now that we are satisfied with how the model performs, we can persist it and use it from other notebooks / scoring scripts.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

word2vec is an unsupervised learning technique—that is, it is applied to a corpus of natural language without making use of any labels that may or may not happen to exist for the corpus. With the SG architecture, context words are predicted given the target word. Journal of Machine Learning Research, 9, 2579–605.].

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Data Science at The New York Times

Domino Data Lab

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

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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. Augmented analytics use machine learning and AI to aid with data insight and analysis to improve workers’ ability to analyze data. Users’ varied needs require a shift in traditional BI thinking.