Apply AI and ML to Business Problems-Overview
CAIP Specialization Introduction
()
Solve Business Problems with AI and Machine Learning Course Introduction
()
Identify Data-Driven Emerging Technologies Module Introduction
()
Overview
Get help and meet other learners in this course. Join your discussion forums!
Apply AI and ML to Business Problems-Identify AI and ML Solutions for Business Problems
The Data Hierarchy
()
Big Data
()
Data Mining
()
Applied AI and ML in Business
()
Appropriate Business Problems
()
Challenges of AI/ML
()
Apply AI and ML to Business Problems-Follow a Machine Learning Workflow
Machine Learning Model
()
Machine Learning Workflow
()
Useful Skillsets
()
Concept Drift and Transfer Learning
()
Guidelines for Following the Machine Learning Workflow
Apply AI and ML to Business Problems-Formulate a Machine Learning Problem
Problem Formulation
()
Differences Between Traditional Programming and Machine Learning
()
Differences Between Supervised and Unsupervised Learning
()
Randomness and Uncertainty
()
Machine Learning Outcomes
()
Guidelines for Formulating a Machine Learning Outcome
Select Appropriate Tools-Overview
Select Appropriate Tools Module Introduction
()
Overview
Select Appropriate Tools-AI and ML Toolsets
Open Source AI Tools
Proprietary AI Tools
New Tools and Technologies
()
Hardware Requirements
()
GPU Platforms
Cloud Platforms
()
Guidelines for Configuring a Machine Learning Toolset
Machine Learning Tools
Promote Data Privacy and Ethical Practices-Overview
Promote Data Privacy and Ethical Practices Module Introduction
()
Overview
Promote Data Privacy and Ethical Practices-Protect Data Privacy
Data Protection
()
Data Privacy Laws
()
Privacy by Design
()
Data Privacy Principles at Odds with Machine Learning
()
Compliance with Data Privacy Laws and Standards
()
Data Sharing and Privacy
()
The Big Data Challenge
()
Guidelines for Protecting Data Privacy
Promote Data Privacy and Ethical Practices-Promote Ethical Practices
Preconceived Notions
()
The Black Box Challenge
()
Bias, Prejudice, and Discrimination
()
Ethics in NLP
()
Use of Data for Unintended Purposes
()
Guidelines for Promoting Ethical Practices
Promote Data Privacy and Ethical Practices-Establish Data Privacy and Ethics Policies
Privacy and Data Governance for AI and ML
Intellectual Property
()
Humanitarian Principles
()
Asilomar AI Principles
()
Guidelines for Establishing Policies Covering Data Privacy and Ethics