Practical ML/AI Guide for Businesses

  Problem Breast cancer   (BC) is the uncontrollable growth of malignant cells in the breasts [1]. BC is the most common cancer with the highest mortality rate.  The exact cause of breast cancer is unknown, but some women have a higher risk than others. This includes women with a personal or family history of breast cancer and women with certain gene mutations. Since cancer cells can metastasize, or spread to other parts of the body, it’s important to recognize the symptoms of BC early on. The sooner you receive a BC Diagnosis (BCD) and start treatment, the better your outlook [2].   Conventional BCD involves imaging tests to look for BC spread. Imaging tests use x-rays, magnetic fields, sound waves, or radioactive substances to create pictures of the inside of your body. Imaging tests might be done for a number of reasons including [2]: To look at suspicious areas that might be cancer To learn how far cancer might have spread To help determine if treatment is work

  What is ML? Machine Learning (ML) is defined as follows: A code learns from experience E with respect to a task T and a performance measure P, if its performance on T, as measured by P, improves with E. [1].   Example 1: your code monitors spam and classifies emails as spam or not spam (SNS). In this case, T = classifying emails as SNS; E = watching you label emails as SNS; P = the fraction of emails correctly classified as SNS. Example 2: playing checkers. E = the experience of playing many games of checkers; T = the task of playing checkers; P = the probability that the program will win the next game. ML is a part of Artificial Intelligence (AI). ML algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so [2]. ML is an important subset of data science. Through the use of statistical methods, data science algorithms are trained to make classifications or predictions, uncove