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  2. Michael I. Jordan - Wikipedia

    en.wikipedia.org/wiki/Michael_I._Jordan

    Michael Irwin Jordan ForMemRS [6] (born February 25, 1956) is an American scientist, professor at the University of California, Berkeley, research scientist at the Inria Paris, and researcher in machine learning, statistics, and artificial intelligence.

  3. MLE - Wikipedia

    en.wikipedia.org/wiki/MLE

    Machine learning engineer, a software engineer who specializes in machine learning; ... Mid-Level Exception, an NBA salary cap exception; Model Law Engineer, ...

  4. François Chollet - Wikipedia

    en.wikipedia.org/wiki/François_Chollet

    François Chollet (French: [fʁɑ̃swa ʃoˈlɛ]; born 20 October 1989) is a French software engineer and artificial intelligence researcher formerly Senior Staff Engineer at Google. Chollet is the creator of the Keras deep-learning library, released in 2015.

  5. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    When training a machine learning model, machine learning engineers need to target and collect a large and representative sample of data. Data from the training set can be as varied as a corpus of text , a collection of images, sensor data, and data collected from individual users of a service.

  6. Elham Tabassi - Wikipedia

    en.wikipedia.org/wiki/Elham_Tabassi

    Elham Tabassi, a NIST electronics engineer, is working to develop a statistical measure of uncertainty for fingerprint decisions. Elham Tabassi is an engineer and government leader. [ 1 ] She was listed on the inaugural TIME100 Most Influential People in AI.

  7. Yann LeCun - Wikipedia

    en.wikipedia.org/wiki/Yann_LeCun

    Yann André LeCun [1] (/ l ə ˈ k ʌ n / lə-KUN, French:; [2] originally spelled Le Cun; [2] born 8 July 1960) is a French-American computer scientist working primarily in the fields of machine learning, computer vision, mobile robotics and computational neuroscience.

  8. Jürgen Schmidhuber - Wikipedia

    en.wikipedia.org/wiki/Jürgen_Schmidhuber

    Schmidhuber supervised the 1991 diploma thesis of his student Sepp Hochreiter [18] which he considered "one of the most important documents in the history of machine learning". [15] It studied the neural history compressor , [ 14 ] and more importantly analyzed and overcame the vanishing gradient problem .

  9. Bin Yu - Wikipedia

    en.wikipedia.org/wiki/Bin_Yu

    Her recent work has focused on data science, including frameworks for veridical data science [6] [7] and interpretable machine learning. [8] Yu has received recent news coverage regarding investigations into the theoretical foundations of deep learning, [ 9 ] and work forecasting COVID-19 severity in the US.

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