Events

COURSE OUTLINE:
Introduction to H20.ai
AI Strategies in Smart Application
AI Transformation in Application
Challenges of Implementing and AI Strategy
H2O Architecture
H2O.ai for Smart Application
Starting H2O using R, Python
Getting Data in to H2O Cluster and Data Manipulation
Supervised and Unsupervised Algorithm
Auto ML : Automatic Machine Learning
Use of AI in Smart Application –Descriptive and Predictive
Introduction to Big Data
Datafication and IoT
Hadoop Ecosystem, Architecture
Advanced Map Reduce-Apache Spark
Combine Big Data, Spark and H2O.ai -Sparkling Water
Research Issues