[ COVER OF THE WEEK ]
Big Data knows everything Source
[ LOCAL EVENTS & SESSIONS]
- Jan 10, 2019 #WEB Galvanize Data Science Information Session -Denver
- Jan 23, 2019 #WEB Data Science in 30 Minutes: Examining Machine Learning Trends with Cloudera Research Engineer, Shioulin Sam
- Dec 19, 2018 #WEB Data Science in 30 Minutes: Uber’s Chief Scientist Explores Frontiers of Machine Learning and AI
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
[ FEATURED READ]
The eagerly anticipated Fourth Edition of the title that pioneered the comparison of qualitative, quantitative, and mixed methods research design is here! For all three approaches, Creswell includes a preliminary conside… more
[ TIPS & TRICKS OF THE WEEK]
Save yourself from zombie apocalypse from unscalable models
One living and breathing zombie in today’s analytical models is the pulsating absence of error bars. Not every model is scalable or holds ground with increasing data. Error bars that is tagged to almost every models should be duly calibrated. As business models rake in more data the error bars keep it sensible and in check. If error bars are not accounted for, we will make our models susceptible to failure leading us to halloween that we never wants to see.
[ 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]
If we have data, let’s look at data. If all we have are opinions, let’s go with mine. Jim Barksdale
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
We are seeing a massive growth in video and photo data, where every minute up to 300 hours of video are uploaded to YouTube alone.