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  • Here’s How Google Trains World-Class Managers (Using A Bit of Data Science Helps)

    Here’s How Google Trains World-Class Managers (Using A Bit of Data Science Helps)

    The search giant created a 10-point checklist that all company founders need to see.

    Sourced through Scoop.it from: www.entrepreneur.com

  • Accenture platform aims to unleash AI without the need for deep data expertise

    Accenture platform aims to unleash AI without the need for deep data expertise

    Accenture’s Applied Intelligence platform claims to provide non-data scientists with the tools and access to the data they need to rapidly assemble applications

    Sourced through Scoop.it from: www.smartcitiesworld.net

  • NVIDIA BrandVoice: How To Build A Data Science Dream Team

    NVIDIA BrandVoice: How To Build A Data Science Dream Team

    Strong collaboration between data scientists and subject-matter experts (SMEs) on data is essential for building an infrastructure of capturing data for rapid, accurate decisions. It’s important to understand the role of a data scientist in order to build your data science “dream team.”

    Sourced through Scoop.it from: www.forbes.com

  • OpenAI let us try its state-of-the-art NLP text generator

    OpenAI let us try its state-of-the-art NLP text generator

    OpenAI's new family of language models achieves state-of-the-art performance on a number of NLP tasks -- and sometimes generates convincing original text.

    Sourced through Scoop.it from: venturebeat.com

  • Why The Future Of NLP Is In The Hands Of Tech Giants Like Google, Microsoft & Amazon

    Why The Future Of NLP Is In The Hands Of Tech Giants Like Google, Microsoft & Amazon

    One thing common with these tech giants is their willingness to open source their innovations. These range from sentiment analysis to text categorization

    Sourced through Scoop.it from: www.analyticsindiamag.com

  • Machine Learning | Hour Detroit Magazine

    Machine Learning | Hour Detroit Magazine

    Sourced through Scoop.it from: www.hourdetroit.com

  • 11 questions to ask before starting a successful machine learning project | CustomerThink

    11 questions to ask before starting a successful machine learning project | CustomerThink

    Sourced through Scoop.it from: customerthink.com

  • Monitoring Customer Data With Machine Learning

    Monitoring Customer Data With Machine Learning

    Companies looking to use AI and machine learning on customer data could learn a thing or two from storage vendors.

    Sourced through Scoop.it from: www.forbes.com

  • Superb AI generates customized training data for machine learning projects –

    Superb AI generates customized training data for machine learning projects –

    One of the big challenges of developing a machine learning project can be simply getting enough relevant data to train the algorithms. That’s where Superb AI, a member of the Y Combinator Winter 2019 class, can help. The startup helps companies create customized data sets to meet the requirem…

    Sourced through Scoop.it from: techcrunch.com

  • The Future of Artificial Intelligence in Natural Language Processing

    The Future of Artificial Intelligence in Natural Language Processing

    Improved cognition and interaction with humans due to enhanced Natural Language Processing (NLP) capabilities will define the future of AI, leading to smarter applications, from improved spam filters to robots that can converse like humans.

    Sourced through Scoop.it from: www.bbntimes.com

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