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 training can be carried out locally on customer premises in Plymouth or in NobleProg corporate training centers in Plymouth.
NobleProg -- Your Local Training Provider
Plymouth
Regus Drake Circus, Unit MSU9A, Level 1, Plymouth, united kingdom, PL1 1EA
Business travellers now have somewhere to work and meet while on the go – walk-in workspace at Drake Circus shopping centre...
Business travellers now have somewhere to work and meet while on the go – walk-in workspace at Drake Circus shopping centre in Plymouth. Our business lounge features flexible workspace and desks along with meeting rooms to rent by the day, half-day or hour.
Work smart and meet your clients in a professional environment. A virtual office service is also available. It’s easy to access by car and there’s plentiful parking at this site close to Plymouth University and the City Museum. The railway station is just 10 minutes away on foot.
• Fully-equipped meeting rooms
• Fully equipped private day offices
• Free high speed WiFi and refreshments
• Business class facilities – print, scan and copy documents
• Plentiful parking
• Walk in business lounge with flexible workspace to work productively
• Virtual offices – mail handling, business address & telephone answering
How to find us: We are located on Car Park Level 1/Food Court, next to The Entertainer Toy Shop.
This instructor-led, live training in Plymouth (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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