In one of my previous articles, you can learn the process about how discoveries are made by research scientists, from exploratory analysis, testing, simulations, data science guesswork, all the way to the discovery of a new theory and state-of-the-art statistical modeling,including new, fundamental mathematical/statistical equations.
In one of my previous articles, you can learn the process about how discoveries are made by research scientists, from stating the problem, exploratory analysis, testing, simulations, data science guesswork, all the way to the discovery of a new theory and state-of-the-art statistical modeling,including new, fundamental mathematical/statistical equations.
We focus on the discovery and identification of direct causes and effects of a target variable in a causal network. State-of-the-art algorithms generally need to find the global causal structures in the form of complete partial directed acyclic graphs in order to identify the direct causes and effects of a target variable. While these algorithms are effective, it is often unnecessary and wasteful to find the global structures when we are only interested in one target variable (such as class labels). We propose a new local causal discovery algorithm, called Causal Markov Blanket (CMB), to identify the direct causes and effects of a target variable based on Markov Blanket Discovery. CMB is designed to conduct causal discovery among multiple variables, but focuses only on finding causal relationships between a specific target variable and other variables.
GDPR (EU General Data Protection Regulation) is around the corner and bigger companies are getting ready to adopt it as they already know what kind of penalties come from non-compliance. It replaces replaces the Data Protection Directive 95/46/EC and was designed to harmonize data privacy laws across Europe and it is the biggest change on data privacy regulation in 20 years for Europe. While GDPR main elements can be a little tricky to understand, one thing is clear as sensitive Data Discovery is mandatory, so you can find the Personal and sensitive information on your data repositories, that can be almost everything from databases to files. Basically, we focus our data discovery on three main areas: column discovery, data discovery and file discovery. Column discovery is easy to understand, based on specific keywords or sentences we find column names on databases and match it with possible sensitive data.
Starting today, Hulu Live TV subscribers will have access to Discovery networks. The channels, spread across a variety of packages available on the live streaming service, include Discovery, TLC, MotorTrend, Animal Planet and Investigation Discovery (ID). The prices on the bundles featuring the new channels won't change. While the $40 per month Hulu With Live TV core package will get the five aforementioned channels, more of Discovery brand channels will also be available through add-on packages. Destination America, Discovery Family, Science, Discovery Life, American Heroes Channel are in the Entertainment add-on for $7.99 per month.