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\\[\sum_{frac{n}{2}}^{N}\\] \\(\sum_{frac{n}{2}}^{N}\\) $\sum_{frac{n}{2}}^{N}$
\\[\begin{bmatrix} w_1 \ w_2 \end{bmatrix} := \begin{bmatrix} w_1 \ w_2 \end{bmatrix} - \eta \begin{bmatrix} \frac{\partial}{\partial w_1} (w_1 + w_2 x_i - y_i)^2 \ \frac{\partial}{\partial w_2} (w_1 + w_2 x_i - y_i)^2 \end{bmatrix} = \begin{bmatrix} w_1 \ w_2 \end{bmatrix} - \eta \begin{bmatrix} 2 (w_1 + w_2 x_i - y_i) \ 2 x_i(w_1 + w_2 x_i - y_i) \end{bmatrix}\\]
I adhere to two principals, in that order.
I follow two principles, in this order. A methodically clean and conscientious approach followed by the clear and aesthetically pleasing communication of information. In addition, I do my best to use the available tools efficiently and flexibly. Be it the commands provided by the CentOS (~Red Hat Linux) distribution for system administration, the workflow in Python for reading raw data from .csv files, custom web scraping algorithms or from a database directly, to a production-ready predictive machine learning model that can be deployed via Docker or AWS and serve the client's purposes.
A balance between low deployment costs through virtualization and the use of scalable, on-demand cloud services that keep costs in check, and a competitive advantage for the customer through the use of the finished product.
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