- 1 What is cross validated Stack Exchange?
- 2 What is Data Science stack?
- 3 Is Stack Exchange related to Stack Overflow?
- 4 What is the goal of cross validation?
- 5 What does a full stack data scientist do?
- 6 Can a full stack developer become a data scientist?
- 7 Which is the best site for data science?
- 8 When did the data science Stack Exchange close?
- 9 What are some common stacks in data science?
What is cross validated Stack Exchange?
Cross Validated is a site where people can ask and answer questions about statistical topics, part of the Stack Exchange network of community driven Q & A sites. We [community members] interpret statistics quite broadly- the site is intended for statisticians, data miners, and anyone else doing data analysis.
What is Data Science stack?
Data science tech stack is not only about the framework used to create models or the runtime for inference jobs. It extends to your complete data engineering pipeline, business intelligence tools, and the way in which models are deployed.
As of September 2015, “Stack Exchange” no longer refers to the company, only the network of question-and-answer websites. Instead, the company is now referred to as Stack Overflow.
What is the goal of cross validation?
Cross-validation is primarily used in applied machine learning to estimate the skill of a machine learning model on unseen data. That is, to use a limited sample in order to estimate how the model is expected to perform in general when used to make predictions on data not used during the training of the model.
What does a full stack data scientist do?
The scope of a full stack data scientist covers every component of a data science business initiative, from identifying to training to deploying machine learning models that provide benefit to stakeholders. Basic stages in the data science lifecycle that can be owned by a full stack data scientist: Business problem.
Can a full stack developer become a data scientist?
Full stack developers can develop entire software by them-self and become entrepreneur easily as compared to the effort you will put in learning data science. You can’t do 24 hrs data science in most companies and that’s why companies assign you other tasks such as ETL/ Big Data/ Distributed data processing etc.
Which is the best site for data science?
Data Science Stack Exchange is a question and answer site for Data science professionals, Machine Learning specialists, and those interested in learning more about the field. It only takes a minute to sign up.
When did the data science Stack Exchange close?
Update the question so it’s on-topic for Data Science Stack Exchange. Closed 6 years ago. I had a conversation with someone recently and mentioned my interest in data analysis and who I intended to learn the necessary skills and tools.
What are some common stacks in data science?
7 stacks from interviewing Analysts, Scientists, and Engineers. Organizations have different combinations of similar technologies to create their own unique stack.