Artificial intelligence(AI) and machine learning (ML) are the most viral topics discussed in this age. It has been a big controversy among scientists today, and their benefits to humankind cannot be overemphasized. We need to watch for and understand the potential “holy shit” threats surrounding AI and ML. Who could have imagined that one day […]
Cybersecurity is of increasing importance to enterprise and public leaders. In their efforts to mitigate cybercrime, organizations are increasingly leveraging data to protect sensitive information. Now, the world’s computer scientists are levering big data technology to stay ahead of hackers. But, the key will be to improve global cybersecurity. Statistical research, among other data science […]
Transitioning from an internship into a high-paying career is hard. In the data science world, the competition for employment is intense. While there still are a lot of unfilled roles out there, most of them require something slightly more than just a textbook education. The best way to make the leap from a university education […]
And they’re mostly failing.
Humans are key to understanding Big Data.
Turns out, what they do is really hard.
Wanelo, an e-commerce startup, built its own tools to analyze a flood of data.
R remains popular with the PhDs of data science, but as data moves mainstream, Python is taking over.
The bigger the data set, the bigger the chance for completely misreading the data, particularly with regards to so-called Black Swan events.
The bigger our data sets, the harder it becomes to sift through them to find objective truth, and the higher the costs of getting it wrong. By lowering the bar to data science, open-source tools like Hadoop have actually increased our ability to misread our data, with serious consequences.