Analytics

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LinkedIn Talent Solutions: 10 tips for hiring your perfect match

Looking for the perfect candidate? LinkedIn Talent Solutions offers powerful tools and services for leveraging real-time data and machine learning to find your match.

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What is SQL? The first language of data analysis

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why

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6 reasons why the iPad is still the best Apple Arcade device

The Apple TV and Mac may be better on paper, but they fall short in performance and portability.

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What is big data analytics? Fast answers from diverse data sets

Analyzing large volumes of data is only part of what makes big data analytics different from traditional data analytics

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The best open source software of 2019

InfoWorld recognizes the leading open source projects for software development, cloud computing, data analytics, and machine learning

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Review: Elasticsearch 7 soars with SQL, search optimizations

Across-the-board upgrade beefs up query capabilities, boosts cluster performance, and simplifies cluster configuration

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Why Amazon Care may be the new model for corporate healthcare

Amazon's pilot program for providing healthcare to Seattle-area employees through telemedicine and at-home visits is only the latest in a concerted effort by companies to cut costs and improve care for employees.

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What is a data analyst? A key role for data-driven business decisions

Data analysts help organizations understand the current state of the business by interpreting a wide range of data.

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Tableau explains your data with new natural-language tool

Tableau latest self-service capability, Explain Data, provide users with automated analysis of their data visualizations in ways they can readily understand.

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AI gets real (sort of) in the enterprise

Turns out AI isn’t magic pixie dust to sprinkle over legacy processes and legacy tech, but a fundamental rethinking of how to do business

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6 data analytics success stories: An inside look

Leading CIOs are successfully tapping data analytics and machine learning to achieve business goals.

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Semi-supervised learning explained

Using a machine learning model’s own predictions on unlabeled data to add to the labeled data set sometimes improves accuracy, but not always

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8 technologies that will disrupt business in 2020

From artificial intelligence to augmented reality, these eight disruptive technologies and trends will begin driving how business gets done at forward-thinking organizations in the years to come.

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Automated machine learning or AutoML explained

AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models

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What is predictive analytics? Transforming data into future insights

Predictive analytics can help your organization forecast future outcomes based on historical data and analytics techniques such as machine learning.

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HPE plus MapR: Too much Hadoop, not enough cloud

MapR gives HPE superior big data analytics technology and expertise, but not what HPE needs most

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Unsupervised learning explained

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow

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Julia vs. Python: Which is best for data science?

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job

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