Machine Learning Fundamentals with Amazon SageMaker on AWS / Bilgin, Asli.

Format:

Video

Author/Creator:

Bilgin, Asli, author.

Series:

LiveLessons

Language:

English

Subjects (All):

Cloud computing.

Machine learning.

Amazon Web Services (Firm).

Genre:

Electronic videos.

Physical Description:

1 online resource (1 video file, approximately 5 hr., 42 min.)

Edition:

1st edition

Place of Publication:

Addison-Wesley Professional, 2019.

System Details:

video file

Summary:

5+ Hours of Video Instruction Machine Learning Fundamentals with Amazon SageMaker on AWS LiveLessons teaches the fundamental concepts and taxonomy for machine learning and provides a high-level overview of the tools, languages, and libraries that Amazon SageMaker uses, including the AWS console, Jupyter Notebooks, languages, and interactive data analysis libraries. Overview Machine Learning Fundamentals with Amazon SageMaker on AWS LiveLessons teaches the fundamental concepts and taxonomy for machine learning. It provides specific scenarios, so the user can determine if ML would be beneficial. The course also provides a high-level overview of the tools, languages, and libraries that Amazon SageMaker uses, including the AWS console, Jupyter Notebooks, languages such as Python, and interactive data analysis libraries such as Pandas. This course will also discusses common algorithms and models used with ML and Amazon SageMaker, which will help determine the appropriate model to use in specific business scenarios. Through this course the user will walk through Amazon SageMaker’s end-to-end workflow using practical and pragmatic business scenarios. You’ll see how you can benefit from the ability of a machine to make predictions on future data through hands-on labs and key concepts. AWS is continuing to make great strides to innovate their Artificial Intelligence and Machine Learning Platform. The concepts learned in this course will provide you with the foundation to build your own innovative systems on this dynamic platform. Topics include: Module 1: What is Amazon SageMaker? Module 2: Fundamentals Machine Learning Concepts with Practical Applications Module 3: Amazon SageMaker Supporting Tools and Technologies Module 4: Data and Model Management with Amazon SageMaker Module 5: Predictions and Deployment with Amazon SageMaker About the Instructor Asli Bilgin is an award-winning, cloud computing executive who has more than two decades of experience working for companies such as Dell, Microsoft, and Amazon. Her firm, Nokta Consulting, specializes in IT transformation and modernization leveraging disruptive technologies such as cloud computing, machine learning, and blockchain. At Amazon, Asli created, launched, and ran the global Software as a Service program. At Microsoft, she led the cloud and web strategy for 80 countries in the Middle East and Africa, based out of Dubai. Asli is a passionate advocate for the impact that technology can make on pe...

Participant:

Presenter, Asli Bilgin.

Notes:

Online resource; Title from title screen (viewed November 4, 2019)

Title from title screen (viewed January 29, 2020).

ISBN:

9780135945131

0135945135

OCLC:

1137802648