Author: Zen and the Art of Computer Programming
Today, digital technology has become the information infrastructure of enterprise business, including information collection, information processing, storage and analysis, etc., all need to be based on digital platforms. The most important step for enterprises to adopt digital transformation is to make intelligence a part of the digital ecosystem. Can enterprises truly achieve intelligence on digital platforms? This article will try to answer this question from the perspective of "how to use data science methods to realize enterprise data intelligence".
2. Explanation of basic concepts and terms
2.1 Data science, machine learning, artificial intelligence, computer vision
First, we need to clarify what “data science” is. The definition of data science can be summarized in one sentence: obtaining valuable knowledge and understanding through in-depth mining, integration, application, processing, and summary of complex and diverse data. In other words, data science refers to the use of computer science, statistics, mathematics, logic, electrical engineering, bioengineering and other knowledge and methods to process, analyze and predict data to form observable results.
For example, if you analyze customer buying habits based on sales data, you can call this process "data science", which involves many related technologies, such as data mining, data modeling, statistical analysis, etc.
Similarly, there are two concepts of "machine learning" and "artificial intelligence".
"Machine Learning" is a programming method that enables a computer to learn on its own and improve its behavior so that it can make predictions or decisions in new environments. It is usually divided into two categories: supervised learning and unsupervised learning.
"Artificial Intelligence" is a concept proposed by British psychologist Alan Turing. It is a discipline that studies how to make machines intelligent, with the purpose of giving machines the ability to solve the growing computing tasks of humans. At present, research on artificial intelligence is very mature and is mainly divided into two directions: computer vision and language understanding.
"Computer Vision"