BOOKS - PROGRAMMING - Machine Learners Archaeology of a Data Practice
Machine Learners Archaeology of a Data Practice - Adrian Mackenzie 2017 PDF | DJVU The MIT Press BOOKS PROGRAMMING
US $5.97

Views
746308
Machine Learners Archaeology of a Data Practice
Author: Adrian Mackenzie
Year: 2017
Number of pages: 272
Format: PDF | DJVU
File size: 10.19 MB
Language: ENG

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning - programming computers to learn from data - has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking.

You may also be interested in: