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Live Online & Classroom Enterprise Training
Master core concepts of H2O - an accurate, fast and scalable deep learning platform. Build as many models as you like and compare the results to find the best. Be ready to deploy smart apps with minimal coding effort by leveraging the built-in ML models.
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Gain firsthand expertise on installing, configuring, and deploying H2O and make use of the R APIs to handle billions of rows of data without sampling and get accurate predictions faster. Through practical guided exercises leverage the built-in machine learning algos such as generalized linear modeling (linear regression, logistic regression, etc.), Naïve Bayes, principal components analysis, time series, k-means clustering, Random Forest, Gradient Boosting, and Deep Learning at scale.
In cloud labs, practice implementing GBM, Random Forest, GLM, GLRM and become familiar with concepts such as Stacking and Super Learning.
Be the expert of deploying complex deep learning models using H2O with R.
This Deep Learning with H2O with R training course enables you to:
Required: Working knowledge of Java, R, Storm, Machine Learning, Deep Learning Models
Live Online Training12 Hours
The trainer for this Deep Learning with H2O & R Training has extensive experience in this domain, including years of experience training & mentoring professionals.
This training gave me big picture of Big data. Good amount of material shared. I believe, no need to search anything else, just material is sufficient. Hands on ? Good Quality ? Given the many real world examples and how they use.
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Few of our software engineers got trained by SpringPeople, and we had couple of sessions on JQuery, CSS3. Most of the feedback which we received from our team were good. The core components were explained with appropriate examples. The trainer ability to explain the concepts was excellent and trainer interaction with our participants was significant. We would like to thank entire team of SpringPeople..! Keep up the Good work.