ADVANCES IN MACHINE LEARNING

Machine learning is a branch of artificial intelligence concerned with the design and development of algorithms that allow computers to learn from processing real data and become more proficient over time. In the future, artificial intelligence will start showing up in more and more unexpected places, including all of the software used by most consumers and businesses. A major focus of machine-learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data. Some examples of the current applications of machine learning include

  • Search engines
  • Medical diagnosis
  • Bioinformatics
  • Cheminformatics
  • Detecting credit card fraud
  • Stock market analysis
  • Classifying DNA sequences
  • Speech and handwriting recognition
  • Robot locomotion
  • Aircraft autopilot
  • Computational finance
  • Sentiment analysis
  • Recommender systems

Machine learning is a rapidly evolving field that has the potential to have a great impact on analytics, as well as on the experiences in human lives. However, what is not clear is how the future advances in machine learning will affect the need for trained analysts and other human resources. As machine-learning models and techniques improve over the long term, it is possible there will be a reduction in demand for humans with that specialized skill set. In addition, as sophisticated applications are developed, it will make it easier to run larger, more complex organizations with fewer people, possibly leading ...

Get Win with Advanced Business Analytics: Creating Business Value from Your Data now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.