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Machine Learning

"A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E." - Tom Mitchel

Introduction
curated by Camillo

  • Approx. 8 hours
  • 0€ to invest
  • Google Google Inc. Hasso-Plattner-Institut fuer Digital Engineering gGmbH Google Inc. Google Inc. Google Inc. MIT DeepMind
  • Python
  • 23 people already started

    Theory
    curated by Camillo

  • Approx. 56 hours
  • 0€ to invest
  • Stanford University Imperial College London
  • Calculus Algebra
  • 23 people already started

    Applied
    curated by Camillo

  • Approx. 73 hours
  • 0€ to invest
  • Google Inc. O'Reilly Media, Inc. O'Reilly Media Facebook
  • Python
  • 23 people already started

    In production
    curated by Camillo

  • Approx. 10 hours
  • 0€ to invest
  • deeplearning.ai
  • Python
  • 23 people already started

    Related paths

    About Machine Learning

    Machine Learning

    Machine Learning comes from the field of Artificial Intelligence .

    The learning path of Machine Learning integrates concepts of Python .

    Next, you can specialize into Artificial Neural Networks & Supervised Learning & Unsupervised Learning & Reinforcement Learning . Machine Learning is particulary useful for Data Science .

    Curator

    Curator

    If you’re not sure where to start, why not follow one of these paths curated by experts?

    Camillo Rohe curates Machine Learning

    How it Works

    Suggested path

    You are guided through a path that tell you after finishing one resource which should come ideally next. In each path you'll find information, educational content, platforms to exchange infos, applications, tools

    After studying a resource, you check it.