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 training can be carried out locally on customer premises in Nantes or in NobleProg corporate training centers in Nantes.
Unsupervised Learning is also known as Unsupervised Machine Learning.
NobleProg -- Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
This instructor-led, live training in Nantes (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 Nantes (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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