O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. And it was good.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

Data Science and Beyond

JULY 22, 2018

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. As I was wrapping up my PhD in 2012, I started thinking about my next steps. Things have changed considerably since 2012. What do I actually do here?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Domino Data Lab

OCTOBER 7, 2020

The accuracy of any predictive model approaches 100%. Property 4: The accuracy of any predictive model approaches 100%. This means models can always be found that predict group characteristic with high accuracy. There should be no model to accurately predict even and odd rows with random data.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

AWS Big Data

JULY 28, 2023

To connect as a federated user with the Redshift provisioned cluster, you need to follow the steps in the previous section that detailed how to connect with Redshift Serverless and query the Data Catalog as a federated user using Query Editor V2 and a third-party SQL client. There are additional changes required in IAM policy.

Data Lake 84

Data Lake Data Governance Data Warehouse Data-driven 84

Domino Data Lab

APRIL 21, 2021

Veres-Ferrer, Gabriel Foix-Escura, Credit card incidents and control systems , International Journal of Information Management, Volume 32, Issue 6, 2012, Pages 501-503, ISSN 0268-4012. [2] References. [1] Pavía, Ernesto J. 2] Nitesh V. Chawla, Kevin W. Bowyer, Lawrence O. Hall, and W. Philip Kegelmeyer.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

The Unofficial Google Data Science Blog

MARCH 31, 2016

We have many routine analyses for which the sparsity pattern is closer to the nested case and lme4 scales very well; however, our prediction models tend to have input data that looks like the simulation on the right. Compact approximations to bayesian predictive distributions." Cambridge University Press, (2012). [4]

Modeling 40

Modeling Statistics Advertising Testing 40