Smart Data Collective

SEPTEMBER 17, 2020

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

Big Data Finance Risk Management Risk 141

O'Reilly on Data

DECEMBER 12, 2019

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. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

Domino Data Lab

APRIL 21, 2021

anomaly detection) or supervised model (classification), and requires less maintenance as the model can be automatically retrained to keep its associations up to date. The drawbacks are that rule-based detection is computationally intensive and is usually implemented as batch (or offline) scoring. from sklearn import metrics.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

JULY 9, 2019

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.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

AUGUST 22, 2019

For example, in this chapter, we’ll build a model to classify movie reviews as positive or negative. Depending on the particular task that we’ve designed our model for, as well as the dataset that we’re feeding into it, we may use all, some, or none of these data preprocessing steps. considered to be stop words.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company. It will show you how to select the right solution and what investments are required for success. that gathers data from many sources. Consider Delta.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52