Machine Learning With Spark

SPRK-106 (3 Days)
Request Pricing for Machine Learning With Spark

Machine Learning with Spark Training Overview

This Machine Learning With Spark training course teaches attendees how to leverage machine learning at scale with the popular Apache Spark framework. This class dives into foundations, applicability, and limitations, as well as implementation, use, and specific use cases. Students don't just learn the APIs, they learn the theory behind it and work with real-world sample datasets from leading companies.

Location and Pricing

Most Accelebrate courses are taught as private, customized training for 3 or more attendees at our clients' sites worldwide. In addition, we offer live, private online classes for teams who may be in multiple locations or wish to save on travel costs. Please visit our client list for organizations for whom we have delivered onsite training. To receive a customized proposal and price quote for private on-site or online training, please contact us.

Machine Learning with Spark Training Objectives

All students will:

  • Learn popular machine learning algorithms, their applicability, and their limitations
  • Practice the application of these methods in the Spark machine learning environment
  • Learn practical use cases and limitations of algorithms
  • Apply ML Concepts
  • Use Regressions, Classifications, and Clustering
  • Perform Principal Component Analysis (PCA)

Machine Learning with Spark Training Outline

Expand All | Collapse All | Printer-Friendly

Introduction
Machine Learning (ML) Overview
  • Machine Learning landscape
  • Machine Learning applications
  • Understanding ML algorithms & models
ML in Python and Spark
  • Spark ML Overview
  • Introduction to Jupyter notebooks
Machine Learning Concepts
  • Statistics Primer
  • Covariance, Correlation, Covariance Matrix
  • Errors, Residuals
  • Overfitting / Underfitting
  • Cross-validation, bootstrapping
  • Confusion Matrix
  • ROC curve, Area Under Curve (AUC)
Feature Engineering (FE)
  • Preparing data for ML
  • Extracting features, enhancing data
  • Data cleanup
  • Visualizing Data
Linear regression
  • Simple Linear Regression
  • Multiple Linear Regression
  • Running LR
  • Evaluating LR model performance
  • Use case: House price estimates
Logistic Regression
  • Understanding Logistic Regression
  • Calculating Logistic Regression
  • Evaluating model performance
  • Use case: credit card application, college admissions
Classification: SVM (Supervised Vector Machines)
  • SVM concepts and theory
  • SVM with kernel
  • Use case: Customer churn data
Classification: Decision Trees & Random Forests
  • Theory behind trees
  • Classification and Regression Trees (CART)
  • Random Forest concepts
  • Use case: predicting loan defaults, estimating election contributions
Classification: Naive Bayes
  • Theory
  • Use case: spam filtering
Clustering (K-Means)
  • Theory behind K-Means
  • Running K-Means algorithm
  • Estimating the performance
  • Use case: grouping cars data, grouping shopping data
Principal Component Analysis (PCA)
  • Understanding PCA concepts
  • PCA applications
  • Running a PCA algorithm
  • Evaluating results
  • Use case: analyzing retail shopping data
Recommendations (Collaborative filtering)
  • Recommender systems overview
  • Collaborative Filtering concepts
  • Use case: movie recommendations, music recommendations
Performance 
  • Best practices for scaling and optimizing Apache Spark
  • Memory caching
  • Testing and validation
Conclusion
Request Pricing for Machine Learning With Spark
Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

SPRK-106

Duration:

3 Days

Prerequisites:

This course is intended for data scientists and software engineers, however, we assume no previous knowledge of Machine Learning. Students should have a programming background, and familiarity with Python would be a plus but is not required. If students are new to Apache Spark, we can offer a 1-day Introduction to Spark training primer.

Training Materials:

All Spark training students receive comprehensive courseware.

Software Requirements:

  • Windows, Mac, or Linux PCs with the current Chrome or Firefox browser
    • Most class activities will create Spark code and visualizations in a browser-based notebook environment, the class also details how these notebooks can be exported, and how to run Spark code outside of this environment.
  • Internet access

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

Contact Us Train For Us

Toll-free in US/Canada:
877 849 1850
International:
+1 678 648 3113

Toll-free in US/Canada:
866 566 1228
International:
+1 404 420 2491

925B Peachtree Street, NE
PMB 378
Atlanta, GA 30309-3918
USA

Subscribe to our Newsletter:

Never miss the latest news and information from Accelebrate:

Microsoft Gold Partner

Please see our complete list of
Microsoft Official Courses

Recent Training Locations

Alabama

Birmingham

Huntsville

Montgomery

Alaska

Anchorage

Arizona

Phoenix

Tucson

Arkansas

Fayetteville

Little Rock

California

Los Angeles

Oakland

Orange County

Sacramento

San Diego

San Francisco

San Jose

Colorado

Boulder

Colorado Springs

Denver

Connecticut

Hartford

DC

Washington

Florida

Fort Lauderdale

Jacksonville

Miami

Orlando

Tampa

Georgia

Atlanta

Augusta

Savannah

Hawaii

Honolulu

Idaho

Boise

Illinois

Chicago

Indiana

Indianapolis

Iowa

Ceder Rapids

Des Moines

Kansas

Wichita

Kentucky

Lexington

Louisville

Louisiana

New Orleans

Maine

Portland

Maryland

Annapolis

Baltimore

Frederick

Hagerstown

Massachusetts

Boston

Cambridge

Springfield

Michigan

Ann Arbor

Detroit

Grand Rapids

Minnesota

Minneapolis

Saint Paul

Mississippi

Jackson

Missouri

Kansas City

St. Louis

Nebraska

Lincoln

Omaha

Nevada

Las Vegas

Reno

New Jersey

Princeton

New Mexico

Albuquerque

New York

Albany

Buffalo

New York City

White Plains

North Carolina

Charlotte

Durham

Raleigh

Ohio

Akron

Canton

Cincinnati

Cleveland

Columbus

Dayton

Oklahoma

Oklahoma City

Tulsa

Oregon

Portland

Pennsylvania

Philadelphia

Pittsburgh

Rhode Island

Providence

South Carolina

Charleston

Columbia

Greenville

Tennessee

Knoxville

Memphis

Nashville

Texas

Austin

Dallas

El Paso

Houston

San Antonio

Utah

Salt Lake City

Virginia

Alexandria

Arlington

Norfolk

Richmond

Washington

Seattle

Tacoma

West Virginia

Charleston

Wisconsin

Madison

Milwaukee

Alberta

Calgary

Edmonton

British Columbia

Vancouver

Manitoba

Winnipeg

Nova Scotia

Halifax

Ontario

Ottawa

Toronto

Quebec

Montreal

Puerto Rico

San Juan

© 2013-2020 Accelebrate, Inc. All Rights Reserved. All trademarks are owned by their respective owners.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.