Turning to Machine Learning for Industrial Automation Applications (.PDF Download)

At its core, machine learning studies the construction of algorithms and learns from them to make predictions on data by building models from sample inputs. If we further break it down, machine learning borrows heavily from computational statistics (prediction modeling using computers) and mathematical optimization, which provides methods, theory and application data to those models. In essence, it creates its own data models based on algorithms and then uses them to predict defined patterns

Register to view the full article

By registering on Electronic Design now, you'll not only gain access to premium content, you'll also become part of an exclusive, robust global engineering community!
Participate in Expert and Reader driven Q&A's
Start your own conversation by commenting on any article or blog
Download high-quality content including the highly anticipated Salary & Career Report

Hide comments

Comments

  • Allowed HTML tags: <em> <strong> <blockquote> <br> <p>

Plain text

  • No HTML tags allowed.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Lines and paragraphs break automatically.
Publish