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. Machine learning 45.1

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JANUARY 6, 2019

Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. Meanwhile, employers who are betting that their teams accomplish substantial projects in data science, machine learning, data engineering, artificial intelligence, etc.,

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

AUGUST 8, 2019

Latest in machine learning research centers rapidly expanding in Africa? then building machine learning models to recommend methods and potential collaborators to scientists. Meanwhile, many organizations also struggle with issues that are encountered only after machine learning models get deployed in production.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. A machine learning classifier serves this task perfectly. 2] Lawrence Brown, Tony Cai, Anirban DasGupta (2001).

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112