[ COVER OF THE WEEK ]
Data analyst Source
[ LOCAL EVENTS & SESSIONS]
- Jan 24, 2019 #WEB Webinar: Navigating the Statistics Canada Website
- Jan 18, 2019 #WEB Webinar-Flatrate 2019 – Lunch & Learn
- Jan 06, 2019 #WEB Free Webinar on Big Data with Scala & Spark – Live Instructor Led Session | Limited Seats | Plano, TX
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
[ FEATURED READ]
[ TIPS & TRICKS OF THE WEEK]
Data Analytics Success Starts with Empowerment
Being Data Driven is not as much of a tech challenge as it is an adoption challenge. Adoption has it’s root in cultural DNA of any organization. Great data driven organizations rungs the data driven culture into the corporate DNA. A culture of connection, interactions, sharing and collaboration is what it takes to be data driven. Its about being empowered more than its about being educated.
[ DATA SCIENCE Q&A]
Q:Explain what a local optimum is and why it is important in a specific context,
such as K-means clustering. What are specific ways of determining if you have a local optimum problem? What can be done to avoid local optima?
A: * A solution that is optimal in within a neighboring set of candidate solutions
* In contrast with global optimum: the optimal solution among all others
* K-means clustering context:
Its proven that the objective cost function will always decrease until a local optimum is reached.
Results will depend on the initial random cluster assignment
* Determining if you have a local optimum problem:
Tendency of premature convergence
Different initialization induces different optima
* Avoid local optima in a K-means context: repeat K-means and take the solution that has the lowest cost
[ VIDEO OF THE WEEK]
Subscribe to Youtube
[ QUOTE OF THE WEEK]
It’s easy to lie with statistics. It’s hard to tell the truth without statistics. Andrejs Dunkels
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
The largest AT&T database boasts titles including the largest volume of data in one unique database (312 terabytes) and the second largest number of rows in a unique database (1.9 trillion), which comprises AT&T’s extensive calling records.