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What is Machine Learning?

Machine Learning, a subfield of AI, uses algorithms and big data to guide technology in such a way that the technology discovers--on its own how to learn from the data and make decisions based on what it learns.

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Our intentions for Machine Learning should focus on improving humans' quality of life with more intelligent technology rather than on improving AI's ability to simulate human traits.

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Giant

Machine Learning is a toolset that relies on big data to enable technology to make decisions and predictions that enrich human life.

  • Big Data

    Modern industry produces billions of data. This big data informs Machine Learning to help technology identify enhanced analytical methods, historical correlations, and more precise predictions.

  • Algorithms

    Rather than rely on a list of restrictive “human” rules, modern AI uses processes and calculations that teach technology to analyze the data, learn from it, and make decisions based on what it learns.

  • Learning Techniques

    Unsupervised— finds order/patterns in unknown data sets Supervised— predicts/answers from a known data set Reinforcement— strategizes based on rewards and penalties or trial and error

Aspects of Machine Learning

Unsupervised Learning

  • Adaptive Resonance Theory
  • Clustering
  • Dimension Reduction
  • Self-Organized Maps

SUPERVISED LEARNING TECHNIQUES

  • Convolutional Neural Network (CNN)
  • Decision Trees (DT)
  • k-Nearest Neighbor (k-NN)
  • Naïve Bayesian
  • Neural Networks (NN)
  • Recurrent Neural Network (RNN)
  • Statistical Regression
  • Support Vector Machines (SVM)

REINFORCEMENT LEARNING TECHNIQUES

  • Genetic Algorithms
  • Particle Swarm Optimization
  • Q-Learning

MACHINE LEARNING EXAMPLES

Automotive

  • Tesla’s Autopilot offers automatic speed control, lane changing, transitioning between freeways, and self-parking.

Biological Sciences

  • Roche applies machine learning to a high volume of cancer data, creates precise therapies, and identifies candidates

Digital Voice Assistants

  • Alexa and Siri recite encyclopedic knowledge, operate smart devices, or contact help in an emergency.

Entertainment

  • IBM’s Watson collects data on songs, news headlines, and conversations to compose original beats and lyrics.

Financial

  • American Express uses machine learning to suggest products based on spending patterns or to detect fraud

Media

  • The Washington Post develops Heliograf, an automated storytelling system that created 850 articles from 2016-2017.

Oil & Gas

  • BP applies machine learning to analyze ground conditions, ensure safety, improve processes, and test quality.

Personalization

  • Pinterest populates images in your feed with similar objects as in your previous searches, pins, and filters.
Machine Intelligence Techniques