Session 1: ML Foundations Course – Start with the Business Problem, Again
NOTE: The first video of the ML Foundations Course is coming from the 6 session of the AI Foundations Course
This video was recorded on July 14, 2020
Slides from the presentation are available here: https://www.h2o.ai/community/viewdocument/ai-foundations-v1-072120-module-3?CommunityKey=6086b4fe-7ee8-4a71-bceb-12e00d5db450&tab=librarydocuments
To find additional videos on ML courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course
OUTLINE:
0:00 - AI Foundations
3:14 - Why we are Here
5:10 - Determine Need & Use Cases for AI
25:09 - Design & Evaluate Model Architectures
39:10 - Assess Key Use Cases
46:14 - Finalize your AI Proposal
50:31 - What's Next?
51:36 - Resources
Description:
Machine learning is one of the most active areas of artificial intelligence, powered by data.
In this module, you will learn the essential building blocks of machine learning through the use of case studies. You will be introduced to the data science workflow and frameworks to help you turn business problems into machine learning problems. By the end of this module, you will be able to apply machine learning methods to a wide variety of domains and applications. One of the most critical aspects of a successful AI implementation is having a clear approach that ensures all key stakeholders understand the relevant aspects of the proposed solution.
In this session, you will learn how to identify appropriate AI use cases, evaluate architecture-readiness, and complete an AI proposal that will set the stage for a successful AI business solution.
Speaker:
Parul Pandey (H2O.ai - Data Science Evangelist)
NOTE: The first video of the ML Foundations Course is coming from the 6 session of the AI Foundations Course
This video was recorded on July 14, 2020
Slides from the presentation are available here: https://www.h2o.ai/community/viewdocument/ai-foundations-v1-072120-module-3?CommunityKey=6086b4fe-7ee8-4a71-bceb-12e00d5db450&tab=librarydocuments
To find additional videos on ML courses, earn badges, join the courses at H2O.ai Learning Center: https://training.h2o.ai/products/ai-foundations-course
OUTLINE:
0:00 – AI Foundations
3:14 – Why we are Here
5:10 – Determine Need & Use Cases for AI
25:09 – Design & Evaluate Model Architectures
39:10 – Assess Key Use Cases
46:14 – Finalize your AI Proposal
50:31 – What’s Next?
51:36 – Resources
Description:
Machine learning is one of the most active areas of artificial intelligence, powered by data.
In this module, you will learn the essential building blocks of machine learning through the use of case studies. You will be introduced to the data science workflow and frameworks to help you turn business problems into machine learning problems. By the end of this module, you will be able to apply machine learning methods to a wide variety of domains and applications. One of the most critical aspects of a successful AI implementation is having a clear approach that ensures all key stakeholders understand the relevant aspects of the proposed solution.
In this session, you will learn how to identify appropriate AI use cases, evaluate architecture-readiness, and complete an AI proposal that will set the stage for a successful AI business solution.
Speaker:
Parul Pandey (H2O.ai – Data Science Evangelist)
