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Using Ensembles in Kaggle Data Science Competitions – Part 2
Aspiring to be a Top Kaggler? Learn more methods like Stacking & Blending. In the previous post we discussed about ensembling models by ways of weighing, averaging and ranks. There is much more to explore in Part-2!
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Miner3D Data Visualization System Version 8
The new software features a redesigned user interface, making it a perfect complement for Excel. New graphics visualization engine is now faster and smoother.
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Top 10 Data Mining Algorithms, Explained
By Gregory PS Editor on May 21, 2015 in Algorithms, Apriori, Bayesian, Boosting, C4.5, CART, Data Mining, Explained, K-means, K-nearest neighbors, Naive Bayes, Page Rank, Support Vector Machines, Top 10Top 10 data mining algorithms, selected by top researchers, are explained here, including what do they do, the intuition behind the algorithm, available implementations of the algorithms, why use them, and interesting applications.
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Surprising Random Correlations
An interesting demo showing how easy it is to find surprising correlations in real data. Is German unemployment rate related to Apple Stock? Is 10-year Treasury rate related to price of Red Winter Wheat? You will be surprised.
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Plotly: Online Dashboards That Update Your Data and Graphs
New online visualization option from Plot.ly allows you to have data visualizations and graphs that update dynamically.
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Cartoon: Data Scientist Mother
We revisit KDnuggets Cartoon which looks at the Mother of All Data. Enjoy and don't forget the mothers in your life - Big Data predicted that 67.53% of you would remember!
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The Inconvenient Truth About Data Science
Data is never clean, you will spend most of your time cleaning and preparing data, 95% of tasks do not require deep learning, and more inconvenient wisdom.
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Cartoon: A solution for Data Scientists allergies caused by Big Data
With more and more allergies and big trend towards gluten-free everything, new KDnuggets cartoon envisions a possible solution for Data Scientists allergies.
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Computing Platforms for Analytics, Data Mining, Data Science
The poll results suggest a split between a majority of data miners and data scientists who work with growing but still "PC-size", small GB-sized data, and a smaller group of Big Data analysts who work with cloud-sized data. Cloud computing, Unix, and especially Mac gained in popularity.
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Top KDnuggets tweets, Mar 16-18: 87 Studies shown that accurate numbers aren’t more useful than the ones you make up (Dilbert)
Also Sirius - a free, open-source version of Siri; #PI art: the first 13,689 digits of pi; Great tutorial + #Python code: 1-Layer Neural Networks.
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