One of the common questions that we get at openSAP is, can I learn in my mother tongue? What languages do you provide? It's a topic that we've been passionate about solving and we've been searching for a scalable solution to improve in this area. We're happy to announce that we're ready to share the results of our machine learning translation and we'd like you to test it out. We're inviting you to tell us what you like and what can be improved.
We’d like to get your feedback on the translation of this course to help us evaluate our progress. You can provide feedback in the forum and in a survey at the end of the course. Enrollment is now open and the content, with translated subtitles, will be available from November 21. Just in case you missed the first version of the course, here's a little explanation about what you can expect.
Machine Learning is a commonly used term, but how can machine learning help businesses to succeed? This openSAP course takes a high-level look at how businesses can use machine learning. Machine Learning enables computers to learn from large amounts of data without being explicitly programmed to do so. In cases when it is difficult to write a set of rules, which can’t be easily written in programming language such as SQL, historic examples are used to train the machine to predict an outcome. It is mainly used in high volume cases.
Enterprise Machine Learning in a Nutshell (Repeat) is focused on helping you, as a business leader, to understand how enterprises can benefit from machine learning; for example, how to identify a solution to a business problem, use cases, prototypes, build products, and much more. SAP aspires to make all its enterprise solutions intelligent and help customers to leverage their data.
The objective of this course is to help business decision makers understand the significance of machine learning for enterprise computing. After taking this course, participants should be aware of recent advances in machine learning, have an understanding of the basic concepts involved and how business problems can be solved with machine learning. In particular, the course gives guidelines on how to formulate a business problem as a machine learning problem. This course is mainly aimed at a business audience.