Sun.Jul 05, 2020

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Statistics for Data Science: What is Skewness and Why is it Important?

Analytics Vidhya

Overview Skewness is a key statistics concept you must know in the data science and analytics fields Learn what is skewness, the formula for. The post Statistics for Data Science: What is Skewness and Why is it Important? appeared first on Analytics Vidhya.

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Incorporating Social Media Data into AI Strategy: Use Cases & Challenges

Dataiku

Data from social networks, particularly Twitter, Facebook, LinkedIn, Instagram, Foursquare, and Meetup, is a trove of valuable insight into the mentality, behaviors, and preferences of consumers. And since much of social media data is public, a wealth of information sits at the fingertips of any company ready to tap into it.

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Getting Started with Native Object Store

Teradata

Wherever you are on the cloud object store adoption curve, Teradata Vantage 2.0 aaS can be used to access AWS-S3 & Azure Blob object stores easily & on demand.

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Royal Bank of Canada

Teradata

RBC is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance, and creating value for our clients and communities.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Royal Bank of Canada

Teradata

RBC is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance, and creating value for our clients and communities.

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