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  2. fast.ai - Wikipedia

    en.wikipedia.org/wiki/Fast.ai

    The free MOOC "Practical Deep Learning for Coders" is available as recorded videos, initially taught by Howard and Thomas at the University of San Francisco. In contrast to other online learning platforms such as Coursera or Udemy, a certificate is not granted to those successfully finishing the course online. Only the students following the in ...

  3. 10 Free Online Certification Courses to Advance Your Career - AOL

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    Finding free ways to obtain training and certifications should be at the top of your list. Skip to main content. Sign in. Mail. 24/7 Help. For premium support please call: 800-290 ...

  4. 10 Free Online Certification Courses to Advance Your Career - AOL

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    Certificate programs can lead to high-paying jobs -- so if you don't have to pay for a certification, it's a real opportunity. 10 Free Online Certification Courses to Advance Your Career Skip to ...

  5. Online machine learning - Wikipedia

    en.wikipedia.org/wiki/Online_machine_learning

    In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once. Online learning ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

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