EncartaLabs

Machine Learning with H2O.ai

( Duration: 3 Days )

H2O is an open source, fast, and scalable machine learning platform that allows to build different machine learning based models. H2O supports the most widely used statistical and machine learning algorithms including Gradient Boosted Machines (GBM), Generalized Linear Models (GLM), Deep Learning, etc. In Machine Learning with H2O.ai training course you will learn to build different machine learning based models with H2O.

By attending Machine Learning with H2O.ai workshop, delegates will learn:

  • Machine Learning based models for Supervised Learning.
  • Decision Trees, Random Forest, Gradient Boosting Machines, etc.
  • Neural Network
  • Unsupervised Learning and Dimension Reduction
  • Autoencoder and Anomaly detection
  • Stacked Ensemble based models

  • Basic R Knowledge
  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers and Developers

COURSE AGENDA

1

Introduction to H2O

  • What is H2O?
  • Install H2O
  • Install Anaconda
2

Supervised Learning

  • Classification vs Regression
  • Decision Trees
  • Random Forest
  • Gradient Boosting Machines
  • Overfitting
  • Linear Regression
3

Unsupervised Learning

  • Autoencoder
  • Anomaly Detection
  • Clustering
  • Dimension Reduction
4

Neural Network

  • What is Neural Network?
  • Activation Functions
  • Cost Functions
  • Deep Learning vs Machine Leanring
  • Hyper Parameter Tunning

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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