The Gartner research article touches on a couple of good concepts, what is the relationship between Data
Question:
The Gartner research article touches on a couple of good concepts, what is the relationship between Data Science and Machine Learning?
During the article/video the relationship between data science and machine learning is based on the technology collecting data into a software that can accurately track that data. Then the machine learning dives into the stores data and develops an average or a prediction based on the past data.
- How does Data Science enhance Machine Learning?
Data science not only enhances machine learning but it supports it! Without the data in data science the machine could not learn because there wouldn't be any data to learn from!
- Give us your thoughts about Applicant Hiring Systems, the hiring laws discussed here and the topic of Algorithmic Transparency.
The applicant hiring systems are the systems that are designed for recruitment purposes. They filter information automatically and provide tons of benefits like analyzing recruitment efforts. Algorithmic Transparency is the openness about the purpose, structure, and underlying actions of the algorithms used to teach for, process and deliver information. This good because anytime there is transparency you know that everything is legit and not bad or toxic.
- What other practical uses are there for this technology?
One practical use for this technology is helping US military recruiters quickly reach for qualified military age men and women who are looking to join the military.
Introduction To Materials Management
ISBN: 978-9386873248
8th edition
Authors: Arnold J. R. Tony, Gatewood Ann K., M. Clive Lloyd N. Chapman Stephen