[ COVER OF THE WEEK ]
Data shortage Source
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[ FEATURED READ]
If you are looking for a book to help you understand how the machine learning algorithms “Random Forest” and “Decision Trees” work behind the scenes, then this is a good book for you. Those two algorithms are commonly u… more
[ TIPS & TRICKS OF THE WEEK]
Data aids, not replace judgement
Data is a tool and means to help build a consensus to facilitate human decision-making but not replace it. Analysis converts data into information, information via context leads to insight. Insights lead to decision making which ultimately leads to outcomes that brings value. So, data is just the start, context and intuition plays a role.
[ DATA SCIENCE Q&A]
Q:How would you define and measure the predictive power of a metric?
A: * Predictive power of a metric: the accuracy of a metrics success at predicting the empirical
* They are all domain specific
* Example: in field like manufacturing, failure rates of tools are easily observable. A metric can be trained and the success can be easily measured as the deviation over time from the observed
* In information security: if the metric says that an attack is coming and one should do X. Did the recommendation stop the attack or the attack never happened?
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
Hiding within those mounds of data is knowledge that could change the life of a patient, or change the world. Atul Butte, Stanford
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
Akamai analyzes 75 million events per day to better target advertisements.