The Unofficial Google Data Science Blog

JUNE 30, 2016

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces. For a random sample of units, indexed by $i = 1.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JANUARY 6, 2019

What are the projected risks for companies that fall behind for internal training in data science? Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. In business terms, why does this matter ? NASA persistently misspells Jupyter.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

The Unofficial Google Data Science Blog

AUGUST 27, 2019

But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. There are many strategies we can use to estimate this quantity, and we will discuss each option in detail. High Risk 10% 5% 33.3%

Metrics 98

Metrics Statistics Uncertainty Optimization 98

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. They tend to use less machine learning, but more advanced statistical practices, since the outcomes (government policies, etc.)

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

JULY 9, 2019

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” You can sleep at night as a data scientician and you know you’re not building a random number generator, but the people from product, they don’t want to know just that you can predict who’s going to be at risk.

Data Science 112

Data Science Machine Learning Advertising Modeling 112