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  2. Andrew Ng - Wikipedia

    en.wikipedia.org/wiki/Andrew_Ng

    Andrew Yan-Tak Ng (Chinese: 吳恩達; born 1976) is a British-American computer scientist and technology entrepreneur focusing on machine learning and artificial intelligence (AI). [2] Ng was a cofounder and head of Google Brain and was the former Chief Scientist at Baidu , building the company's Artificial Intelligence Group into a team of ...

  3. Coursera - Wikipedia

    en.wikipedia.org/wiki/Coursera

    Coursera Inc. (/ kərˈsɛrə /) is an American global massive open online course provider. It was founded in 2012 [ 2 ][ 3 ] by Stanford University computer science professors Andrew Ng and Daphne Koller. [ 4 ] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.

  4. Daphne Koller - Wikipedia

    en.wikipedia.org/wiki/Daphne_Koller

    Daphne Koller (Hebrew: דפנה קולר; born August 27, 1968) is an Israeli-American computer scientist. She was a professor in the department of computer science at Stanford University [4] and a MacArthur Foundation fellowship recipient. [1] She is one of the founders of Coursera, an online education platform.

  5. Google Brain - Wikipedia

    en.wikipedia.org/wiki/Google_Brain

    Google Brain was a deep learning artificial intelligence research team that served as the sole AI branch of Google before being incorporated under the newer umbrella of Google AI, a research division at Google dedicated to artificial intelligence. Formed in 2011, it combined open-ended machine learning research with information systems and ...

  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. Histogram of oriented gradients - Wikipedia

    en.wikipedia.org/wiki/Histogram_of_oriented...

    The histogram of oriented gradients (HOG)is a feature descriptorused in computer visionand image processingfor the purpose of object detection. The technique counts occurrences of gradient orientation in localized portions of an image. This method is similar to that of edge orientation histograms, scale-invariant feature transformdescriptors ...

  8. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    t. e. Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [ 1 ]

  9. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis. Tukey's championing of EDA encouraged the development of statistical computing packages, especially S ...

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