Your privacy matters: This site uses cookies to analyze site usage and provide social media features. Learn More.

Comprehensive Machine Learning

PYTH-204 (5 Days)

Request Pricing

Machine Learning Training Overview

Accelebrate's Comprehensive Machine Learning training class teaches experienced developers, architects, and team leaders the foundations of building machine learning solutions. Starting with data handling, going through data exploration, and finishing with an algorithms overview, this training provides students with the knowledge of modern tools and the appropriate way of thinking that are crucial for being successful with machine learning. Students then take their skills to the next level with the foundations of neural networks, deep learning, Keras, and TensorFlow to develop robust deep learning solutions.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

Machine Learning Training Objectives

All students will:

  • Understand what is Machine Learning and which problems does it tackle.
  • Understand the Data Science pipeline.
  • Become familiar with the various tools in the Python ecosystem to handle data (clean and transform).
  • Understand the basics of descriptive statistics and probability for data exploration.
  • Using visualization libraries for gaining insight into the data.
  • Become familiar with using the wide variety of machine-learning algorithms.
  • Become familiar with Neural Networks
  • Gain an understanding of Machine Learning
  • Become familiar with Keras
  • Build models using TensorFlow
  • Understand Convolutional Neural Networks
  • Understand Recurrent Neural Networks

Machine Learning Training Outline

Expand All | Collapse All | Printer-Friendly

Introduction
The Concepts
  • What is Data Science?
  • The Role of Machine Learning
  • Use-cases
  • Quality of Data
Data Handling
  • Numpy Essentials
  • Introduction to Pandas
  • Working with DataFrames
  • Filtering
  • Vectorized Operations
Descriptive Statistics
  • Measures of Center
  • Measures of Dispersity
  • Correlations
  • Z-Test
  • Pandas and Descriptive Statistics
Visualization
  • Introduction to matplotlib
  • Creating Charts
  • The Seaborn Library
  • Complex Figures
Data Science
  • Introduction to Data Exploration
  • Scaling
  • Feature Selection
  • Feature Engineering
Algorithms Overview
  • Introduction to SKLearn
  • Supervised Learning
  • Regression vs. Classification
  • Overfitting vs. Underfitting
  • Algorithms
  • Introduction to Unsupervised Learning
Testing and Scoring
  • Overview of Scoring Methods
  • Cross-Validation
Neural Networks
  • Foundation for Neural Networks
  • Relus
  • Backpropagation
  • Regularization (L1, L2)
Deep Learning
  • What is Deep Learning?
  • Fully Connected Models
  • Using Keras and TensorFlow
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Text Processing
  • Loss Functions
  • Custom Architectures
  • Experiencing with TFLearn API
  • Discussion of well-known Architectures
Introduction to Reinforced Learning
Conclusion
Request Pricing

Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

PYTH-204

Duration:

5 Days

Prerequisites:

No prior knowledge of machine learning, math or data science is required. However, all attendees should know the fundamentals of the Python programming language and feel confident with its syntax.

Training Materials:

All Machine Learning training students receive comprehensive courseware.

Software Requirements:

  • Windows, Mac, or Linux with at least 3 GB RAM (64-bit operating system and at least 4 GB RAM recommended)
  • Anaconda for Python 3.x.
  • Related lab files that Accelebrate will provide
  • For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.

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

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

Huntsville

Montgomery

Birmingham

Alaska

Anchorage

Arizona

Phoenix

Tucson

Arkansas

Fayetteville

Little Rock

California

San Francisco

Oakland

San Jose

Orange County

Los Angeles

Sacramento

San Diego

Colorado

Denver

Boulder

Colorado Springs

Connecticut

Hartford

DC

Washington

Florida

Fort Lauderdale

Miami

Jacksonville

Orlando

Saint Petersburg

Tampa

Georgia

Atlanta

Augusta

Savannah

Idaho

Boise

Illinois

Chicago

Indiana

Indianapolis

Iowa

Ceder Rapids

Des Moines

Kansas

Wichita

Kentucky

Lexington

Louisville

Louisiana

Banton Rouge

New Orleans

Maine

Portland

Maryland

Annapolis

Baltimore

Hagerstown

Frederick

Massachusetts

Springfield

Boston

Cambridge

Michigan

Ann Arbor

Detroit

Grand Rapids

Minnesota

Saint Paul

Minneapolis

Mississippi

Jackson

Missouri

Kansas City

St. Louis

Nebraska

Lincoln

Omaha

Nevada

Reno

Las Vegas

New Jersey

Princeton

New Mexico

Albuquerque

New York

Buffalo

Albany

White Plains

New York City

North Carolina

Charlotte

Durham

Raleigh

Ohio

Canton

Akron

Cincinnati

Cleveland

Columbus

Dayton

Oklahoma

Tulsa

Oklahoma City

Oregon

Portland

Pennsylvania

Pittsburgh

Philadelphia

Rhode Island

Providence

South Carolina

Columbia

Charleston

Spartanburg

Greenville

Tennessee

Memphis

Nashville

Knoxville

Texas

Dallas

El Paso

Houston

San Antonio

Austin

Utah

Salt Lake City

Virginia

Richmond

Alexandria

Arlington

Washington

Tacoma

Seattle

West Virginia

Charleston

Wisconsin

Madison

Milwaukee

Alberta

Edmonton

Calgary

British Columbia

Vancouver

Nova Scotia

Halifax

Ontario

Ottawa

Toronto

Quebec

Montreal

Puerto Rico

San Juan

© 2013-2019 Accelebrate, Inc. All Rights Reserved. All trademarks are owned by their respective owners.