Supervised learning solves modern analytics challenges and drives informed organizational decisions. Although the predictive power of machine learning models can be very impressive, there is no benefit unless they drive actions. Models must be deployed in an automated fashion to continually support decision making for measurable benefit. And while unsupervised methods open powerful analytic opportunities, they do not come with a clear path to deployment. This course will clarify when each approach best fits the business need and show you how to derive value from both approaches.
Regression, decision trees, neural networks – along with many other supervised learning techniques – provide powerful predictive insights when historical outcome data is available. Once built, supervised learning models produce a propensity score which can be used to support or automate decision making throughout the organization. We will explore how these moving parts fit together strategically.
Unsupervised methods like cluster analysis, anomaly detection, and association rules are exploratory in nature and don’t generate a propensity score in the same way that supervised learning methods do. So how do you take these models and automate them in support of organizational decision-making? This course will show you how.
This course will demonstrate a variety of examples starting with the exploration and interpretation of candidate models and their applications. Options for acting on results will be explored. You will also observe how a mixture of models including business rules, supervised models, and unsupervised models are used together in real world situations for various problems like insurance and fraud detection.
You Will Learn
Who is it for?
Analytic Practitioners, Data Scientists, IT Professionals, BI Professionals, Technology Planners, Consultants, Business Analysts, Analytic Project Leaders.
Van der Valk Hotel Utrecht
3526 KV Utrecht
Telefoon 030 8000 800
The hotel is very well accessible by public transport. From busstop ‘Kanaleneiland Zuid’ it is only a three-minute walk. You can also take the tram line 60 or 61 from trainstation Utrecht Centraal and get off at stop ‘Kanaleneiland’. Please consult www.9292.nl (door-to-door journey planner, also available in English) or call 0900-9292 (travel advice by phone, € 0.70 p/m).
Van der Valk Hotel Utrecht is also located next to the highway A12, exit 17 (Utrecht / Jaarbeurs / Kanaleneiland).
Although the hotel has a large parking garage, we cannot guarantee parking spots. We therefore advise you to go by public transport.
For those who would like to arrive the day before, there is the possibility of staying at the Van der Valk Hotel Utrecht. However, the hotel does not provide special discounts for attendees of events. Therefore, when interested in an overnight stay, please consult Van der Valk directly to make a reservation.
More information about the hotel and the location can be found on their website www.vandervalkhotelutrecht.nl.
“Keith gave lots of hands-on examples form different industries. He took care to answer participants' questions at length and covered the most important algorithms and methods. I especially liked that he emphasized the fact that the software is not critical and that you don't have to employ the most complicated methods, but rather the one that best fits your problem.”
“Very knowledgeable instructor!”
Practically all of our seminars and workshops can be offered as an In-house course for your company exclusively. Sometimes as a shorter version or if need be as an extended version with more detail or exercises or with extra focus on specific topics that apply to your organization.