AWS Big Data
MARCH 4, 2024
Data files in snapshots are stored in one or more manifest files that contain a row for each data file in the table, its partition data, and its metrics. Run the job again to add orders 2001 and 2002, and update orders 1001, 1002, and 1003. Run the job again to add order 3001 and update orders 1001, 1003, 2001, and 2002.
IBM Big Data Hub
JULY 6, 2023
Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics. ” “Data science” was first used as an independent discipline in 2001.
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Occam's Razor
APRIL 25, 2011
Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. Use metrics that matter: Loyalty, Recency , Net Profit, Conversation Rate, Message Amplification , Brand Evangelist Index , Customer Lifetime Value and so on and so forth. Making website iterations based on executive opinions, but not site testing.
The Unofficial Google Data Science Blog
JUNE 30, 2016
A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. Random forest with default R tuning parameters (Breiman, 2001). Although it may seem sensible at first, this solution can be wrong if the data suffer from selection bias.
O'Reilly on Data
MAY 27, 2020
Under school district policy, each of Audrey’s eleven- and twelve-year old students is tested at least three times a year to determine his or her Lexile, a number between 200 and 1,700 that reflects how well the student can read. They test each student’s grasp of a particular sentence or paragraph—but not of a whole story.
AWS Big Data
OCTOBER 11, 2023
Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities. These metrics help agents improve their call handle time and also reallocate agents across organizations to handle pending calls in the queue. We use two datasets in this post.
Domino Data Lab
MAY 20, 2021
Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic. Chawla et al.,
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