Machine Learning with R #ideas

Machine Learning with R Every time I’ve applied Machine Learning, I end up curve fitting but I keep soldiering on expecting that sooner or later something will click. I loved Machine Learning with R which is full of examples and has a nice overview of the field. The snippet on comparing two variables using CrossTable() Read more about Machine Learning with R #ideas[…]

What’s Missing – the Error Term #idea

What’s missing? [t+1] = how I forecast what comes next What’s missing is the error term – [t+1] = how I forecast what comes next + (error) The error term is what completes the performance triad: Visualize, Execute, Analyze Learning, continuous improvement and perhaps even ideas and serendipity happen faster with the explicit use and Read more about What’s Missing – the Error Term #idea[…]

How to Predict the Winner of the Presidential Election

How to Predict the Winner of the Presidential Election (This formula and method predicted the last US Congressional election to the seat!) Spoiler: Romney 56 – 44% Here’s the ‘How To…’, it is straightforward and intuitive – We’re going to use something called the normal distribution, aka the Bell Curve and The Law of Large Read more about How to Predict the Winner of the Presidential Election[…]