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What Are the Most Important Steps to Protect Your Organization’s Data?

Smart Data Collective

By 2012, there was a marginal increase, then the numbers rose steeply in 2014. It presents guidance on how they attack, how to detect them, and what can be done to prevent, mitigate, or remediate them. Additionally, it presents clear guidelines on how to rapidly restore business operations.

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26 Interesting Statistics around Big Data, Data Science, and Analytics Market, Jobs, and Salaries

Analysts Corner

LinkedIn’s emerging jobs report states that data science has emerged as the fastest-growing job requirement world-wide, with more than 650% growth since 2012. (Image created using Adobe Spark/Adobe Express) Win with Data Science! A lack of awareness has led to less competition in the data science field.

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5 Benefits Of Machine Learning In Enterprise Electrical Systems

Smart Data Collective

It may surprise you to find out that there were 679 widespread, weather-related power outages between 2003 and 2012. You might be able to reduce the cost of your policy when you present proof of relevant upgrades. Machine learning technology is good at anticipating safety risks and addressing them. Minimize Expensive Downtime.

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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

The trouble began in 2012 when a thief stole a laptop containing 30,000 patient records from an employee’s home. A 2019 study presented by Ponemon Institute found that, during the fiscal year 2018, 45% of the companies polled reported having an overall encryption strategy applied consistently across their organizations.

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10 Ways to Improve Your Data Visualizations

Juice Analytics

www.forbes.com/special-report/2012/annoying-business-jargons-12.html. Replace the business-speak with direct, clear terminology that anyone can understand. If there is space, write out abbreviations and acronyms as well. Reduce pie charts. Pie charts are seldom the most effective way to show your data.

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Overcoming Common Challenges in Natural Language Processing

Sisense

In NLP, tokenization is important as the essence of a text can be easily interpreted by analysis of tokens present in it. While training a model for NLP, words not present in the training data commonly appear in the test data. Amit Bendov was appointed CEO in July 2012. Semantic meaning of words.

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Building Trust and Culture in Teams: An Interview with Scott Ross

Stickyminds

Scott Ross is presenting a session named "Leveraging Core Values for Healthier, More Productive Teams" at the 2012 Better Software Conference East. Scott shared with us the importance of maintaining a positive culture around development teams in order to keep everyone happy, healthy, and productive.

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