brendamorgan

6 ms·

1.
by brendamorgan 11y ago
As one journeys through his/her career in analytics, some truths start becoming evident over time. And while none of them are ground-shattering, they often surprise novices in the field. So, it’s worthwhile to know 11 absolute facts of
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11 Facts about Data Science that you must know(edupristine.com)
19 points by brendamorgan 11y ago|7 comments
3.
by brendamorgan 11y ago
Clustering is a canonical example of un-supervised machine learning methods. Un-supervised, as in, true clusters (segments) don’t exist or aren’t known in advance. Hence method tries to separate observations in different groups without any
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Machine Learning – Semi-Supervised Clustering(edupristine.com)
4 points by brendamorgan 11y ago|1 comments
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by brendamorgan 11y ago
Coursera’s website is an educational platform that has partnered with top organizations and universities across the globe to offer online courses for anyone for free. You can select any course that suits your profile and sign up for it and
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7 Best Free Analytics Courses on Coursera(edupristine.com)
1 points by brendamorgan 11y ago|2 comments
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10 Best eBooks on Hadoop that you can download for free(edupristine.com)
3 points by brendamorgan 11y ago|0 comments
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Beyond the K-Means – Beyond the Means: A Deep Dive into ‘Means’ Part of K-Means(edupristine.com)
2 points by brendamorgan 11y ago|1 comments
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by brendamorgan 11y ago
Curse of Dimensionality refers to non-intuitive properties of data observed when working in high-dimensional space, specifically related to usability and interpretation of distances and volumes.
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Machine Learning: Curse of Dimensionality(edupristine.com)
54 points by brendamorgan 11y ago|13 comments
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Decision Trees – Tree Development and Scoring(edupristine.com)
1 points by brendamorgan 11y ago|0 comments
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Beyond the k-Means – the Right k(edupristine.com)
5 points by brendamorgan 11y ago|0 comments
13.
by brendamorgan 11y ago
Gradient Boosting models are another variant of ensemble models, different from Random Forest. In Random Forest (RF) models, goal is to build many-many overfitted models each on subset of training data, and combine their individual predicti
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Decision Trees – Gradient Boosting Models(edupristine.com)
1 points by brendamorgan 11y ago|1 comments
15.
by brendamorgan 11y ago
Thank you for your inputs. I will be providing with forests article on the same
16.
Decision Trees – Why Are They Useful and How to Create Them(edupristine.com)
40 points by brendamorgan 11y ago|7 comments
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Hadoop Ecosystem and its components(edupristine.com)
3 points by brendamorgan 11y ago|0 comments
18.
by brendamorgan 11y ago
Text mining is an analytical field which derives high quality information from text. Text mining is widely used in the industry when data is unstructured. Derived information can be provided in the form of numbers (indices), categories or c
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Overview of Text Mining(edupristine.com)
1 points by brendamorgan 11y ago|1 comments