The Role of Machine Learning

Machine Learning is rapidly moving from classrooms and laboratories to every day use as applications that continually improve their performance become the norm.

This blog is dedicated to closely chronicling the spread of machine learning into business, engineering, medical, scientific, athletic, and entertainment software.

As such, we welcome contributions from interested people. Please send an email to blog@MachineLearningSoftware.org with your expertise, ideas or leads on information about machine learning in connection with:

  • Making decisions and predictions
  • Performing tasks better as software gains exposure and experience with a given domain
  • Learning rules on the basis of background knowledge, examples and hypotheses
  • Discovering clusters in a large set of observations and figure out what’s meaningful with no prior knowledge
  • Modeling the way humans learn using neural network computing
  • Applying genetic and evolutionary principles to assess  the fitness of a population to perform a task
  • Predicting behavior in complex, real world scenarios over the short and long term

More specifically, feel free to share your interest in machine learning as it relates to:

  • Adaptive applications
  • Analysis of public sentiment
  • Autonomous robotics
  • Bio and chemical informatics
  • Computer vision, object and facial recognition
  • Data mining
  • Dynamic software development
  • Financial markets analysis
  • Gaming and simulation
  • Handwriting analysis and speech recognition
  • Machine perception
  • Medical diagnostics
  • Monitoring of structural integrity
  • Natural language processing
  • Pattern recognition
  • Recommender systems
  • Search

 

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