A good data scientist in my mind is the person that takes the science part in data science very seriously; a person who is able to find problems and solve them using statistics, machine learning, and distributed computing
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Wes McKinney hates the idea of researchers wasting their time. “Scientists unnecessarily dealing with the drudgery of simple data manipulation tasks makes me feel terrible,” he says. Perhaps more than any other person, McKinney has helped fix that problem. McKinney is the developer of “Pandas”, one of the main tools used by data analyst
Sourced through Scoop.it from: qz.com
Facebook’s News Feed is a feast for the eyes, filled with photos, videos and status updates.
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Remembering Srinivasan Ramanujan, the man who knew infinity, on his 129th birth anniversary.
Sourced through Scoop.it from: indiatoday.intoday.in
If it fulfills its promise, quantum machine learning could transform AI.
Sourced through Scoop.it from: www.technologyreview.com
Two experts on AI explain why the rapid rise of machine learning will have different effects on different segments of the job market.
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We all love to share GIFs — and there are plenty of ways to do that, through online portals or keyboards — but often times because there is so much..
Sourced through Scoop.it from: techcrunch.com
People are undoubtedly your company’s most valuable asset. But if you ask cybersecurity experts if they share that sentiment, most would tell you that people are your biggest liability.
Historically, no matter how much money an organization spends on cybersecurity, there is typically one problem technology can’t solve: humans being human. Gartnerexpects worldwide spending on information security to reach $86.4 billion in 2017, growing to $93 billion in 2018, all in an effort to improve overall security and education programs to prevent humans from undermining the best-laid security plans. But it’s still not enough: human error continues to reign as a top threat.
Sourced through Scoop.it from: hbr.org
In this contributed article, Wayne Thompson, Chief Data Scientist at SAS, provides 10 tips for organizations who want to use machine learning more effectively. Machine learning continues to gain headway, with more organizations and industries adopting the technology to do things like optimize operations, improve inventory forecasting and anticipate customer demand.
Sourced through Scoop.it from: insidebigdata.com
Finding the right institute to study Data Science, Business Analytics, Big Data, Data Engineering, Machine Learning, Deep Learning seems to be a daunting task and cost of picking up wrong institutes is quite high both from money as well as time investment point of view. Since these fields are quite new, its difficult for individuals […]