What I like the most is in terms of optimizing the company's logistics systems and processes, which, in the same way, affect the customer experience and favor an improvement in the organization of production processes that, thanks to the Machine Learning, have a solid database with which to justify decision making.
What I do not like is in terms of machine learning is precisely that those features that are subject to statistical analysis must be previously specified by the programmer manually.
Obviously, this supposes a clear restriction to the learning capacity of the machine and generates a greater incidence of human errors during the programming process
I highly recommend it, Machine Learning favors innovation and the search for new solutions that, in most cases, are based on the correct interpretation of the data received, is excellent software.
.The benefit obtained from this software is in terms of: technically speaking, machine learning consists of the use of statistical and mathematical techniques to create predictive models of response to data collection, this discipline is subdivided in turn between supervised learning and unsupervised learning.
That is, instead of needing a specific user to indicate exactly the instructions for each event, the program is able to progressively learn and improve its performance.