Whois & Analysis for placer.io

Machine learning is the subfield of computer science that, according to Arthur Samuel in 1959, gives "computers the ability to learn without being explicitly programmed." Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data driven predictions or decisions, through building a model from sample inputs.

Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or unfeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank and computer vision.

Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them.

Challenges include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy.

The term "big data" often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.

"There is little doubt that the quantities of data now available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem.".

A prediction (Latin præ-, "before," and dicere, "to say"), or forecast, is a statement about an uncertain event.

It is often, but not always, based upon experience or knowledge.

There is no universal agreement about the exact difference between the two terms; different authors and disciplines ascribe different connotations.

Precision is a description of random errors, a measure of statistical variability.

Accuracy has two definitions: