|
|
|
|
Machine learning is currently on everybody's lips and seems to be a
hot topic for many companies. Thus, in this web session we want to
teach more about the fast-growing field of machine learning and
give answers to these questions:
- What is the story behind machine learning, and does it really
help us to make more accurate predictions?
- Are we able to implement systems with the ability to
automatically learn and improve from experience without being
explicitly programmed via training?
- Are we talking about black box models which cannot be
controlled?
- What about regulatory requirements?
- Provocatively spoken: Is machine learning more art than
science?
In this training we will give an introduction to this interesting
field and show machine learning techniques. You can learn how you
are able to implement a workflow and will be given an overview of
several methods such as random forest, gradient boosting, and
neural networks. A vital step of machine learning algorithms is the
development and training phase of models, in particular, in order
to build up powerful applications. We answer questions from a
practical point of view, like if machine learning models have
to be black box applications or if we are able to bring light into
the darkness. Companies are concentrating more and more on using
machine learning for several applications. Therefore, it is
important to have a closer look at the current regulatory
requirements as well.
By focusing on all these aspects of machine learning, we will give
practical examples from the insurance and banking industry. You
will also be provided with Python codes so you can directly see how
machine learning workflows can be implemented.
Your early-bird registration fee is € 150.00 plus 19% VAT for
bookings by 27 September 2022. After this date, the fee will be €
205.00 plus 19% VAT. |
|
|
|
|
|