Apache Spark MLlib Training Course

Course Code

spmllib

Duration

35 hours (usually 5 days including breaks)

Requirements

Knowledge of one of the following:

  • Java
  • Scala
  • Python
  • SparkR.

Overview

MLlib is Spark’s machine learning (ML) library. Its goal is to make practical machine learning scalable and easy. It consists of common learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.

It divides into two packages:

  • spark.mllib contains the original API built on top of RDDs.

  • spark.ml provides higher-level API built on top of DataFrames for constructing ML pipelines.

 

Audience

This course is directed at engineers and developers seeking to utilize a built in Machine Library for Apache Spark

Course Outline

spark.mllib: data types, algorithms, and utilities

  • Data types
  • Basic statistics
    • summary statistics
    • correlations
    • stratified sampling
    • hypothesis testing
    • streaming significance testing
    • random data generation
  • Classification and regression
    • linear models (SVMs, logistic regression, linear regression)
    • naive Bayes
    • decision trees
    • ensembles of trees (Random Forests and Gradient-Boosted Trees)
    • isotonic regression
  • Collaborative filtering
    • alternating least squares (ALS)
  • Clustering
    • k-means
    • Gaussian mixture
    • power iteration clustering (PIC)
    • latent Dirichlet allocation (LDA)
    • bisecting k-means
    • streaming k-means
  • Dimensionality reduction
    • singular value decomposition (SVD)
    • principal component analysis (PCA)
  • Feature extraction and transformation
  • Frequent pattern mining
    • FP-growth
    • association rules
    • PrefixSpan
  • Evaluation metrics
  • PMML model export
  • Optimization (developer)
    • stochastic gradient descent
    • limited-memory BFGS (L-BFGS)

spark.ml: high-level APIs for ML pipelines

  • Overview: estimators, transformers and pipelines
  • Extracting, transforming and selecting features
  • Classification and regression
  • Clustering
  • Advanced topics

Testimonials

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Bookings, Prices and Enquiries

Private Classroom

Private Remote

From $11250 (341)

Public Classroom

Location Date Course Price [Remote/Classroom]
GA, Atlanta - Proscenium2018-12-31 09:30:00$11250 / $13550
NJ, Princeton - Overlook Business Center2018-12-31 09:30:00$11250 / $14050
MA, Burlington - District Avenue2018-12-31 09:30:00$11250 / $14050
FL, Orlando – GAI Building2018-12-31 09:30:00$11250 / $13300
FL, Tallahassee – Alliance Center2018-12-31 09:30:00$11250 / $13150
Atlanta, GA - One West Court Square2018-12-31 09:30:00$11250 / $13550
CA, Sacramento - Promenade Circle2018-12-31 09:30:00$11250 / $13300
FL, Jacksonville - Bank of America Tower2018-12-31 09:30:00$11250 / $13300
CA, Sunnyvale - Downtown Sunnyvale2018-12-31 09:30:00$11250 / $12800
VA, Stafford - Quantico Corporate2018-12-31 09:30:00$11250 / $13050
MD, Baltimore - Legg Mason Tower2018-12-31 09:30:00$11250 / $13050
FL, Fort Lauderdale - Plantation2018-12-31 09:30:00$11250 / $13150
CT, Stamford - Downtown2018-12-31 09:30:00$11250 / $13300
GA, Atlanta - Downtown 260 Peachtree2018-12-31 09:30:00$11250 / $13950
VA, Fredericksburg - Central Park Corporate Center2018-12-31 09:30:00$11250 / $13550
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Course Discounts

CourseVenueCourse DateCourse Price [Remote / Classroom]
OCEB2 OMG Certified Expert in BPM - Business Intermediate Exam PreparationNH, Portsmouth - Commerce Way SuiteMon, Dec 31 2018, 9:30 am$4725 / $6725
Programming in ScalaCA, San Francisco - Golden Gate - 75 BroadwayTue, Jan 8 2019, 9:30 am$3465 / $4825
GlobalSight: Automate the Localization ProcessVA, Reston - Reston Town Center ITue, Jan 15 2019, 9:30 am$1750 / $2850
Security AnalystDE, Wilmington - DowntownMon, Feb 11 2019, 9:30 am$11250 / $13550
Deep Learning for Banking (with R)AR, Little Rock - Regions CenterTue, Apr 9 2019, 9:30 am$9000 / $11240

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