This article consisted of an assortment of useful algorithm and data structure concept that are important for all critical applications.
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Recurrent Neural Network generated Music
Never heard before melodies created by three data scientists.
We built Melody Interpolator, a deep learning model using several LSTM layers to train on classical snippets and generate new melodies based on composers’ melodies. The purpose of the application is to investigate how well artificial intelligence generated music received by human listening experience.
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History of Bees Colony Collapse and Pesticides Usages in US.
I built this in hope to bring awareness to bees colony collapse plight.
Credit to “Bees colony populations statistic data” collected by a non-profit sporadic bees hive owners throughout United States over the years. I built on this corner-stone datasets into this Dash Plotly application. To expand on this bees colony populations datasets, I scoured the US Department of Agriculture databases and Kaggle.com...
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How to avoid investing in bad loan papers.
Data model would not make you money, but questioning it, will.
High yield personal loan paper investments attract investors attention who are hungry for yield return. But to earn these attractive yield return, investors would have to make risky investment decisions. Read on to find out how to mitigate making risky investment decisions using algorithmic data model.
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Linear Predictions are often wrong because they are projected in a straight line.
Humans like to think and see in straight lines, but the world is curve.
Humans like to think and see in straight lines, but the world is curve.
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