Machine Learning Times
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data scientists

Wise Practitioner – Predictive Analytics Interview Series: Mario Vinasco at Facebook

 In anticipation of his upcoming conference presentation, Advanced Experimentation in Social Networks at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Mario Vinasco, Marketing Analytics Data Scientist at Facebook, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: 

Getting More Value from Data: 6 Facts About Data Science

 The value of data is measured by what you do with it, and organizations are relying on data scientists to extract that value. I recently conducted a survey of data professionals to better understand what it means...

Oracle’s Ten Enterprise Big Data Predictions for 2016

 Companies big and small are finding new ways to capture and use more data. The push to make big data more mainstream will get stronger in 2016. Here are Oracle’s top 10 predictions: 1. Data civilians operate more...

Good Predictions != Good Decisions

 A Fateful Tale Ted is having a rough week at work. As a call-center employee, his main focus is on customer retention and offering promotions to his company’s current subscribers. For some reason, his numbers are horrible...

Key Traits that Every Data Scientist Needs

 In the past decade, Big Data solutions have become the most impactful breakthrough in the data science industry. There has never been a better time to pursue a data career to help organizations wade through the Big...

Data scientists to CEOs: You can’t handle the truth

 Too many big data initiatives fail because companies, top to bottom, aren’t committed to the truth in analytics. Let me explain. In January 2015, the Economist Intelligence Unit (EIU) and Teradata (full disclosure: also my employer) released...

Predictive Analytics Tools Point to Better Business Decisions

 Predictive analytics lets organizations look ahead in an effort to optimize business strategies. But there has to be a purpose to the analytics efforts, and a solid plan behind them. From recommending additional purchases based on the...

Visualizations Get Some Snap from R Shiny

 “Numbers have an important story to tell. They rely on you to give them a clear and convincing voice.” –Stephen Few Every data scientist bears the burden of clearly and convincingly communicating results to a client or...

13 Insanely Useful Predictive Analytics Resources

 Predictive analytics holds a lot of promise for the modern sales and marketing organization. Smart companies are investing in the power of Big Data to pinpoint the most profitable prospects. But it also raises tricky questions and...

The Well-Rounded Data Scientist

  The work of interpreting data to help decision-makers goes back some 5,000 years to the bureaucrats and businessmen of ancient Sumer. But dealing with the astronomical size and complexity of modern data sets requires a new,...

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