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A recent talk by Jim Joseph, an expert of Artificial Intelligence, HMM & VR, and a member of the National Academy. Let’s have a look at the data visualization below (the #context = ).

Research Says We’ll Lose 25% of Bodyweight Through Plastic Surgery

AI trained with exercise, rewards, motivators, sleep, stress, nutrition & other behavioral topics, learns to lose weight.

We can analyze the data visualization below: this is training data generated by various algorithms.

Each time we enter a new epoch, these parameters and weights are updated. The weights for each weight are a binary classification (positive or negative) determined by the total number of epochs since the inception of training. The trigger is used to define the test weight parameters for each weight.

Finally, we can observe when weight loss approaches a plateau.

There is no particular manner of how this predictive modeling. The training data (the lighting and camera view from above) has been augmented to improve the accuracy of estimating weight. Weights being updated as an output). There is zero supervision involved but supervised learning should never stop…

The author of this blog post has quite a brilliant background in applying artificial intelligence in finance and BMI measurement.