Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

APRIL 22, 2022

The exam covers topics including Scrum, Kanban, Lean, extreme programming (XP), and test-driven development (TDD). The certification focuses on managing, budgeting, and determining scope for multiple projects, multiple project teams, and assessing and mitigating interdependent risks to deliver projects successfully. Price: $280.

Management 111

Management Cost-Benefit Testing Risk 111

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., Their tests are performed using C4.5-generated

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

AUGUST 8, 2019

Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. To wit: data science is a team sport.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion.

Data Science 112

Data Science Machine Learning Advertising Modeling 112