We are excited to have you at the tutorial on ‘Building and tuning machine-learning apps using Spark ML and GraphX Libraries’.
You would follow the demos of Spark ML and GraphX for the source code provided.
If you would like to also run the source code provided, the install instructions and code are at github.com/WhiteFangBuck/strata-2016-singapore
Because of the time constraints during the tutorial, it would be hard to set things up during the session.
Vartika Singh and Jayant Shekhar offers a hands-on tutorial that exposes you to techniques for building and tuning machine-learning apps using Spark ML libraries, building pipelines, tuning parameters, and graph processing with GraphX.
Vartika and Jayant cover a few different classes of ML algorithms, such as regression, classification, clustering, GraphX, and deep learning algorithms in the Spark MLlib, ML, and GraphX libraries, and discuss the use cases and nuances of feature extraction, parameter tuning, statistical analysis for optimization and dimensionality reduction as it applies to these algorithms. Along the way, you’ll do some hands-on coding, solving various problems using the mentioned algorithms and techniques.
Vartika Singh is a solutions architect at Cloudera with over 12 years of experience applying machine learning techniques to big data problems.
Jayant Shekhar is the founder of Sparkflows Inc., which enables machine learning on large datasets using Spark ML and intelligent workflows. Jayant focuses on Spark, streaming, and machine learning and is a contributor to Spark. Previously, Jayant was a principal solutions architect at Cloudera working with companies both large and small in various verticals on big data use cases, architecture, algorithms, and deployments. Prior to Cloudera, Jayant worked at Yahoo, where he was instrumental in building out the large-scale content/listings platform using Hadoop and big data technologies. Jayant also worked at eBay, building out a new shopping platform, K2, using Nutch and Hadoop among others, as well as KLA-Tencor, building software for reticle inspection stations and defect analysis systems. Jayant holds a bachelor’s degree in computer science from IIT Kharagpur and a master’s degree in computer engineering from San Jose State University.
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