NFL 2017 Week 6 Predictions – Zoltar Likes Underdogs Dolphins, Jets, Lions, and Giants

Zoltar is my NFL football machine learning prediction system. Here are Zoltar’s predictions for week #6 of the 2017 NFL season: Zoltar: panthers by 1 dog = eagles Vegas: panthers by 3 Zoltar: packers by 0 dog = vikings Vegas: packers by off Zoltar: ravens by 10 dog = bears Vegas: ravens by 7 Zoltar: […]

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Using H2O AutoML for Kaggle Porto Seguro Safe Driver Prediction Competition

If you into competitive machine learning you must be visiting Kaggle routinely. Currently you can compete for cash and recognition at the Porto Seguro’s Safe Driver Prediction as well. I did try to given training dataset (as it is) with H2O AutoML which ran for about 5 hours and I was able to get into top […]

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Neural Network L2 Regularization using Python

I wrote an article titled “Neural Network L2 Regularization using Python” in the September 2017 issue of Visual Studio Magazine. See https://visualstudiomagazine.com/articles/2017/09/01/neural-network-l2.aspx. You can think of a neural network as a complicated mathematical prediction equation. To compute the constants (called weights and biases) that determine the behavior of the equation, you use a set of […]

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Good AI Lab Energizes Biotech With AI

Biological data is the key to discovering treatments for incurable diseases. But finding a cure hidden in a mountain of data can be like looking for a needle in a haystack. Unless you have a supercomputer. Enter Silicon Valley-based Good AI lab, which aims to crowdsource the world’s unused FLOPS in order to provide medical […]

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Handling exception “Argument python_obj should be a …”

Recently I hit the following exception when running python code with H2O functions on a new machine however this exception does not happen on my main machine. The exception was as below: H2OTypeError: Argument `python_obj` should be a None | list | tuple | dict | numpy.ndarray | pandas.DataFrame | scipy.sparse.issparse, got H2OTwoDimTable Error in […]

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Exploring & transforming H2O Data Frame in R and Python

Sometime you may need to ingest a dataset for building models and then your first task is to explore all the features and their type you have. Once that is done you may want to change the feature types to the one you want. Here is the code snippet in Python: df = h2o.import_file(‘https://raw.githubusercontent.com/h2oai/sparkling-water/master/examples/smalldata/prostate.csv’) df.types […]

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Time Series Regression using a C# Neural Network

I wrote an article titled “Time Series Regression using a C# Neural Network” in the October 2017 issue of Microsoft MSDN Magazine. See https://msdn.microsoft.com/en-us/magazine/mt826350. I started my article by noting that the goal of a time-series regression problem is to make predictions based on historical time data. For example, if you have monthly sales data […]

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