Smart Data Collective

MARCH 17, 2020

It is understandable that many computer science majors are considering pursuing careers in this evolving field. Is the Booming Big Data Field Right for You? Everyone has heard about Data Science in 2020. The concept of data science was first introduced in 2001, but it started gaining popularity in 2010.

Data Science 97

Data Science Big Data Machine Learning Statistics 97

Data Science 101

JANUARY 15, 2020

Let the number of literate people increased by 5000 in 2010-2020 whereas 3500 in 2000-2010. But we also note that the population growth in 2010-2020 is 3 times the other decade. Statistics Essential for Dummies by D. Rumsey Statistical Reasoning Course by Stanford Ligunita Introduction to the Practice of Statistics by D.

Experimentation 96

Experimentation Statistics Measurement Testing 96

Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. 3D Printing Designer.

Big Data 127

Big Data Advertising Internet of Things Marketing 127

Peter James Thomas

JUNE 20, 2019

Of course it can be argued that you can use statistics (and Google Trends in particular) to prove anything [1] , but I found the above figures striking. Here we come back to the upward trend in searches for Data Science. However more than 50% of data warehouse projects will have limited acceptance, or will be outright failures”.

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. Introduction Time series data appear in a surprising number of applications, ranging from business, to the physical and social sciences, to health, medicine, and engineering.

Forecasting 64

Forecasting Statistics Modeling Software 64

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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. Statistical Science. Statistics in Biopharmaceutical Research, 2010. [4] Interval Estimation for a Binomial Proportion.

Metrics 98

Metrics Statistics Uncertainty Optimization 98