Data - O’Reilly (original) (raw)

articleThe trinity of errors in applying confidence intervals: An exploration using StatsmodelsBy Deepak Kanungo | December 9, 2019 articleOne simple chart: Who is interested in Apache Pulsar?By Ben Lorica, Jesse Anderson | August 28, 2019 articleStablecoins: Solving the cryptocurrency volatility crisisBy Wayne Chang, Gregory Rocco, Jacob Blish | April 25, 2019 articleWhy a data scientist is not a data engineerBy Jesse Anderson | April 9, 2019 articleSpecialized tools for machine learning development and model governance are becoming essentialBy Ben Lorica, Mike Loukides | April 2, 2019 articleSustaining machine learning in the enterpriseBy Ben Lorica | March 27, 2019 articleLessons learned building natural language processing systems in health careBy David Talby | March 7, 2019 articleThe trinity of errors in financial models: An introductory analysis using TensorFlow ProbabilityBy Deepak Kanungo | January 22, 2019 articleWait … pizza is a vegetable? Decoding regulations using machine learningBy Dinesh Nirmal | September 13, 2018 articleSmarter cities through Geotab with BigQuery ML and geospatial analyticsBy Chad Jennings | September 13, 2018 articleThe data imperativeBy Ben Sharma | September 13, 2018 articleDerive value from analytics and AI at scaleBy Ziya Ma | September 13, 2018 articleThe answer to life, the universe, and everything: But can you get that into production?By Ted Dunning | September 12, 2018 articleAI, ML, and the IoT will destroy the data center and the cloud (just not in the way you think)By DD Dasgupta | September 12, 2018 articleLeveraging the best of the past to power a better futureBy Drew Paroski, Aatif Din | September 12, 2018 articleLearn about data governance with these books, videos, and tutorialsSeptember 5, 2018

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