Machine learning experiments can take a long time. Hours, days, and even weeks in some cases. This gives you a lot of time to think and plan for additional experiments to perform. In addition, the average applied machine learning project may require tens to hundreds of discrete experiments in order to find a data preparation …
Sourced through Scoop.it from: machinelearningmastery.com
nice read
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
TensorFlow is Google’s open source framework for machine learning. Rainforest Connection is using this framework to protect the rainforests, such as the Amazon. The method is ingenious and representative of a utilitarian society that we should all be lurching towards.
It’s pretty much impossible to expect investments in human guards across the entirety of the Amazon rainforest. So what’s the next best thing? The people living in the rainforest themselves. Collaborating with local tribes in the Amazon, such as the Tembé tribe from central Amazon, Rainforest Connection has come up with a solution that combines the best of the old world with the new.
Sourced through Scoop.it from: www.tapscape.com
