Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

Smart Data Collective

NOVEMBER 25, 2021

College students are often believed to be least at risk, because they are more tech-savvy and presumably know how to stop data breaches. Since they use the Internet a lot more than their older peers, they might actually be at an even higher risk. First of all, let’s look into some statistics. What Research Shows.

Big Data 95

Big Data Risk Data-driven ROI 95

Smart Data Collective

APRIL 13, 2021

They can use AI and data-driven cybersecurity technology to address these risks. Citing statistics from the Accenture 9th Annual Cost of Cybercrime Study , Accenture Managing Director Robert Kress submits that “humans are still the weakest link when it comes to an organization’s cybersecurity defenses.” Breach and attack simulation.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122