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
Despite a continuing shortage of data science skills, teams do exist in businesses across many industries. Expectations are high and the promises of predictive analytics, prescriptive analytics and artificial intelligence (AI) has captured the imagination of many. Now that the role, the skill-sets and the responsibilities of data science are becoming better defined, how do… Read More » The post Is analytics operations the key to successful data science? appeared first on Data Points.
Today, we’re holding the second TensorFlow Developer Summit at the Computer History Museum in Mountain View, CA! The event brings together over 500 TensorFlow users in-person and thousands tuning into the livestream at TensorFlow events around the world. The day is filled with new product announcements along with technical talks from the TensorFlow team and guest speakers.
Machine learning is solving challenging problems that impact everyone around the world. Problems that we thought were impossible or too complex to solve are now possible with this technology. Using TensorFlow, we’ve already seen great advancements in many different fields. For example:
Astrophysicists are using TensorFlow to analyze large amounts of data from the Kepler mission to discover new planets. Medical researchers are using ML techniques with TensorFlow to assess a person’s cardiovascular risk of a heart attack and stroke. Air Traffic Controllers are using TensorFlow to predict flight routes through crowded airspace for safe and efficient landings. Engineers are using TensorFlow to analyze auditory data in the rainforest to detect logging trucks and other illegal activities. Scientists in Africa are using TensorFlow to detect diseases in Cassava plants to improving yield for farmers.
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.
