Author: Gregory PS Editor Check agenda for the Spark + AI Summit in San Francisco on April 23-25, 2019, comprising of 12 technical tracks on […] Read More
Author: Charles Durfee
Computer Science student with a passion for data science and artificial intelligence.
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Author: Vincent Granville This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, […] Read More
Author: Kim Martineau | MIT Quest for Intelligence Machine learning algorithms now underlie much of the software we use, helping to personalize our news feeds […] Read More
Author: IARPA seeks to apply trusted computing to artificial intelligence and machine learning models Military & Aerospace Electronics trusted computing methods of safeguarding models used to […] Read More
Author: Dan Clark This ebook will walk you through four use cases for Machine Learning on Databricks, covering loan risk, advertising analytics and predictive use […] Read More
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Author: David Harris In 1963 Benoit Mandelbrot published an article called “The Variation of Certain Speculative Prices.” It is a response to the forming theory […] Read More
Author: Jason Brownlee Adding noise to an underconstrained neural network model with a small training dataset can have a regularizing effect and reduce overfitting. Keras […] Read More
Author: 5 Machine Learning Resolutions for 2019 InformationWeek More organizations are using machine learning for competitive reasons, but their results are mixed. It turns out there […] Read More