Unlike prior recipes, or most recipes in this book, the solution here is found only through matrix operations. Most TensorFlow algorithms that we will use are implemented via a training loop and take advantage of automatic backpropagation to update model variables. Here, we illustrate the versatility of TensorFlow by implementing a direct solution to fitting a model to data.
We have used a two-dimensional data example here to show the plot of the fit with the data. It is important to note that the formula used for solving the coefficients, 
, will scale to as many features in the data as needed (barring any co-linearity issues). ...
, will scale to as many features in the data as needed (barring any co-linearity issues). ...
