Remove 2018 Remove Artificial Intelligence Remove Big Data Remove Data Analytics
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Machine Learning Interview Questions to Land the Perfect Data Science Job

Smart Data Collective

Are you looking to get a job in big data? The Bureau of Labor Statistics reports that there were over 31,000 people working in this field back in 2018. However, it is not easy to get a career in big data. More gaming companies are turning to big data experts than ever.

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AI in Analytics: The NLQ Use Case

Sisense

Once both issues are addressed, the user can ask “how many customers are responsible for 80% of my Q1 2018 income compared to 2017?” and the system will know to look after ‘ clients ’ and aggregate the ‘ revenue ’ (the actual variable names in the system) to compare between Q1 2018 and Q1 2017. Machine Intent vs. User Intent.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. He has hit 3000 blog posts for the AWS blog in 2018. Follow Vanessa Alvarez on Twitter , LinkedIn , and Blog/Website.

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16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. of all data is currently analyzed and used. click for book source**.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

This is infused analytics at work: Wearable devices deliver data and insights directly to the coaches, enabling them to make decisions and transform teams’ performance without technical data expertise. These developments have added a whole new dimension to data analysis.

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Top 10 Analytics And Business Intelligence Trends For 2020

Data Pine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 3) Artificial Intelligence.