Jen Stirrup

APRIL 2, 2019

So, organizations need a cohesive strategy which aligns all methods of communication to ensure consistency (Porter, 2001). 2001, Strategy and the Internet. Harvard business Review , (2001): 63-78. After all, the Internet can break a business very quickly! Journal of Marketing Management, vol. Levitt, T. & & Levitt, I.M.

Marketing 59

Marketing Advertising Data-driven Strategy 59

Domino Data Lab

MAY 20, 2021

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., References.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

CIO Business Intelligence

MARCH 24, 2022

Established by the UK Parliament in 2001 to settle complaints about financial-services companies, the Financial Ombudsman’s Service (FOS) has served an increasing number of consumers, recently dealing with more than a million people a year.

IT 90

IT Measurement Strategy Technology 90

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

The Unofficial Google Data Science Blog

JUNE 30, 2016

Random forest with default R tuning parameters (Breiman, 2001). 2001): 5-32. Springer, Berlin: Springer series in statistics, (2001) Hahn, Jinyong. "On An excellent review of statistical learning methods may be found in Friedman et. CBPS (exact and over-parameterized). The MLE in a logistic regression model. Random forests."

Statistics 44

Statistics Optimization Modeling Experimentation 44

The Unofficial Google Data Science Blog

AUGUST 27, 2019

2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001). Statistical Science. In our problem, when we apply post-stratification to importance sampling, we are able to more than triple the count positive items in the sample while reducing the CI width of the estimator by more than 30%. We hope you see similar gains in your application.

Metrics 98

Metrics Statistics Uncertainty Optimization 98