Online or onsite, instructor-led live Unsupervised Learning training courses demonstrate through interactive hands-on practice how to use unsupervised machine learning techniques to discover patterns, group data, and extract meaningful insights from unlabeled datasets.
Unsupervised Learning training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Unsupervised Learning trainings in Milan can be carried out locally on customer premises or in NobleProg corporate training centers.
Unsupervised Learning is also known as Unsupervised Machine Learning.
NobleProg -- Your Local Training Provider
Milan
NobleProg Milan, Via Scarlatti 4, Milan, italy, 20124
The meeting center is close to central part of the city and near the central station. It is easy to rech the place with the underground. In that neighbourhood there are many shops and restaurants.
This instructor-led, live training in Milan (online or onsite) is aimed at beginner to intermediate-level data analysts and data scientists who wish to use Weka to perform data mining tasks.
By the end of this training, participants will be able to:
This instructor-led, live training in Milan (online or onsite) is aimed at engineers, data scientists, and data analysts who wish to use Dataiku DSS for the development of machine learning pipelines, and leverage AI processes in generating strategic organizational initiatives.
By the end of this training, participants will be able to:
Install and configure Dataiku DSS upon their preferred operating system.
Understand AI/ML concepts and principles that are fundamental to Dataiku features.
Create and implement their own data visualization codes in Dataiku DSS projects.
Deploy ML models and pipelines into production environments built around Dataiku DSS.
Optimize the agility and flexibility of data analysis methods of their enterprise applications.
Utilize Dataiku DSS to secure and manage how data flows through further business systems.
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