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. Exeter onsite live H2O trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Exeter
The Senate, Southernhay Gardens, Exeter, united kingdom, EX1 1UG
The business centre is located in Exeter, with excellent transport links that is served by two mainline train stations, Exete...
The business centre is located in Exeter, with excellent transport links that is served by two mainline train stations, Exeter Central and Exeter St Davids, which provide regular rail services to all major UK cities. Exeter has been identified by as one of the top 10 most profitable business locations and the county of Devon is regularly voted as number one in England for quality of life.
The Senate is the finest office building in Exeter and offers the largest available floors. This exceptional grade A building is adjacent to the city’s new Crown Court and only a short stroll from the vibrant heart of the city centre, with its bars, restaurants and recently completed Princesshay shopping centre.
The building provides over 72,000 sqft of high specification office accommodation over 5 floors and incorporates underground secure parking for 72 cars. As you would expect from a building of this calibre, the specification and finish reflect a commitment to the highest standards. Efficient space management is expressed in the flexibility of the floorplates, which can be tailored to the needs of each occupier.
This instructor-led, live training in Exeter (online or onsite) is aimed at technical persons who wish to build machine learning models using algorithms such as GLM, Deep Learning and Random Forests.
By the end of this training, participants will be able to:
Install and configure H2O.
Create machine learning models using different popular algorithms.
Evaluate models based on the type of data and business requirements.
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