Online or onsite, instructor-led live H2O training courses demonstrate through interactive hands-on practice how to use H2O platform to build machine learning models using different algorithms.
H2O training is available as "online live training" or "onsite live training". Remote live training is carried out by way of an interactive, remote desktop. Onsite live H2O trainings in Nova Scotia can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Halifax - Purdy Wharf
1959 Upper Water Street, Halifax, Canada, B3J 3N2
Short walk from Scotia Square Mall, next door to the Casino Nova Scotia. 2 blocks from the ferry terminal, building has ...
Short walk from Scotia Square Mall, next door to the Casino Nova Scotia. 2 blocks from the ferry terminal, building has a bus stop right outside, 3 blocks from Citadel Hill Historic Site and Halifax City Hall.
Dartmouth - Metropolitan Place
99 Wyse Road, Dartmouth, Canada, B3A 4S5
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and ...
Metropolitan Place is an ocean-front building, close to Alderney Landing and home to leading businesses. Motorway exits and the local ferry terminal are located close by, and restaurants cafes are easily accessible for lunch.
Truro - Commercial Street
1 Commercial St., Truro, Canada, B2N 3H8
Build your business with a flexible office space in Truro, the Hub of Nova Scotia. Commute easily to this ideal location usin...
Build your business with a flexible office space in Truro, the Hub of Nova Scotia. Commute easily to this ideal location using the nearby Truro Station, and if you’re driving, Trunk 2 and Trunk 4 highways intersect in the town.
Cette formation en <loc> ; (en ligne ou sur site) est destinée aux personnes techniques qui souhaitent construire des modèles d'apprentissage automatique en utilisant des algorithmes tels que GLM, Deep Learning et Random Forest.
A l'issue de cette formation, les participants seront capables de :
Installer et configurer H2O.
Créer des modèles d'apprentissage automatique à l'aide de différents algorithmes populaires.
Evaluer les modèles en fonction du type de données et des besoins de l'entreprise.
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