Learn data science best practices.

 

Su-Ming WuMarch 20, 2019

Fashion Retailing Forecasting, Part 2: A Problem with Maximum Likelihood

Oracle Senior Principal Data Scientist Su-Ming Wu presents a problem with maximum likelihood introduced in Part I of the series and offers up his solution.
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Su-Ming WuMarch 18, 2019

Fashion Retailing Forecasting, Part 1:  Size Profiles with Maximum Likelihood

Oracle Senior Principal Data Scientist Su-Ming Wu shares how to use machine learning techniques to estimate size profiles from historical sales data.
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Timsy SuriMarch 11, 2019

Visualizing the Reel World with Tableau

Learn Tableau with this tutorial that walks you through connecting data, building visualizations, setting up a dashboard, and saving to a server.
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Mayank MishraMarch 7, 2019

Convolutional Neural Networks, Explained

Learn about the Convolutional Neural Network, its architecture, how it's built, and its many applications.
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Sinisa VukovicMarch 4, 2019

The Business Value of Combinatorial Subgraph Search

Scientist Sinisa Vukovic showcases the business value of graph implementation, specifically Combinatorial Subgraph Search (CSS).
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Shashank Shekhar RaiFebruary 28, 2019

3 Methods to Handle Missing Data

Machine learning practitioner Shashank Shekhar Rai goes over the different types of missing data as well as the common methods to handle missing data.
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Iliya ValchanovFebruary 25, 2019

Study: What Skills Does the Typical Data Scientist Have in 2019?

365 Data Science's Iliya Valchanov shares the results of a study of 1,001 data scientist LinkedIn profiles. Find out how the typical data scientist in 2019 prepares for the rigors of the job.
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Jukka PaajanenFebruary 21, 2019

IoT and Biometrics: Applications for the Future

Oracle Cloud Solution Hub leader Jukka Paajanen presents an IoT use case around understanding human behavior through biometrics.
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Carol HargreavesFebruary 14, 2019

6 Steps to Building a Powerful Customer Analytics System

Carol Hargreaves, director of the data analytics consulting centre at the University of Singapore, presents six steps to building a powerful customer analytics system.
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Amit MishraFebruary 11, 2019

Fusing Design Thinking and System Engineering for Data Science

Innovator and educator Amit Mishra, Ph.D. presents a methodology that fuses Design Thinking and System Engineering that can increase the success of a data science project.
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