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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

It helps developers create and maintain highly effective machine learning applications that operate in the cloud. Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio.

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The Benefits, Challenges and Risks of Predictive Analytics for Your Application

Insight Software

Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future. By forecasting demand, identifying potential performance bottlenecks, or predicting maintenance needs, the team can allocate resources more efficiently.

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

Whizlabs

Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. Rick Blaisdell – Chief Technology Officer at Motus, LLC, Cloud Expert .

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How to Run Successful Predictive Analytics Project for your Business

Marutitech

While working on a predictive analytics project, the primary concern of any data scientist is to get reliable and unbiased results from the predictive analytics models. And that is only possible when common mistakes while implementing predictive analytics are avoided. Consider statistical implementation.

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What Is Embedded Analytics?

Insight Software

Data visualizations are no longer driving revenue: Everyone from Google to Amazon now provides low-cost or no-cost visualization tools that drive down the perceived value of data visualizations. Users are coming to expect sophisticated analytics at little or no cost. End users expect more from analytics too.

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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

Getting an entry-level position at a consulting firm is also a great idea – the big ones include IBM, Accenture, Deloitte, KPMG, and Ernst and Young. Another excellent approach is to gain experience directly in the office of a BI provider, working as a data scientist or a data visualization intern , for instance. BI consultant.