[ COVER OF THE WEEK ]
statistical anomaly Source
[ LOCAL EVENTS & SESSIONS]
- Nov 14, 2018 #WEB Webinar – Critical steps you need to take to become a Data Scientist.
- Oct 21, 2018 #WEB Certified KPI Professional – Dubai October 2017
- Oct 20, 2018 #WEB Become A Data Scientist
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
This course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and… more
[ FEATURED READ]
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but … more
[ TIPS & TRICKS OF THE WEEK]
Winter is coming, warm your Analytics Club
Yes and yes! As we are heading into winter what better way but to talk about our increasing dependence on data analytics to help with our decision making. Data and analytics driven decision making is rapidly sneaking its way into our core corporate DNA and we are not churning practice ground to test those models fast enough. Such snugly looking models have hidden nails which could induce unchartered pain if go unchecked. This is the right time to start thinking about putting Analytics Club[Data Analytics CoE] in your work place to help Lab out the best practices and provide test environment for those models.
[ DATA SCIENCE Q&A]
Q:Explain what resampling methods are and why they are useful?
A: * repeatedly drawing samples from a training set and refitting a model of interest on each sample in order to obtain additional information about the fitted model
* example: repeatedly draw different samples from training data, fit a linear regression to each new sample, and then examine the extent to which the resulting fit differ
* most common are: cross-validation and the bootstrap
* cross-validation: random sampling with no replacement
* bootstrap: random sampling with replacement
* cross-validation: evaluating model performance, model selection (select the appropriate level of flexibility)
* bootstrap: mostly used to quantify the uncertainty associated with a given estimator or statistical learning method
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
It is a capital mistake to theorize before one has data. Insensibly, one begins to twist the facts to suit theories, instead of theories to
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
Distributed computing (performing computing tasks using a network of computers in the cloud) is very real. Google GOOGL -0.53% uses it every day to involve about 1,000 computers in answering a single search query, which takes no more than 0.2 seconds to complete.