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ARTIFICIAL
INTELLIGENCE AND
MACHINE LEARNING
1.1 History & Evolution
Statistics
Statistical
Learning
Data Science
Machine
Learning
Data Analytics
Artificial
Intelligence
Deep Learning
Data Mining
1.1 History & Evolution
Pre
1950 1950-1990s
21st Century
Pre 1950 : classical statistical theory
1950 – 1990s : early computer age
developments
21st Century : modern developments
Artificial intelligence
•
•
•
machine learning
Data Science
and Machine
Learning
•
•
•
Machine Learning
•
•
AI and ML
•
Key Figures and Facts
•
•
•
•
AI and ML
•
•
Jobs in AI and ML
•
• https://ie.indeed.com/Machine-Learning-jobs-in-Dublin
• https://www.irishjobs.ie/Machine-Learning-Jobs-in-
Dublin
• https://www.simplyhired.ie/search?q=%22machine+lear
ning%22&l=dublin&job=5CH2XIJ-
oQthlAr0CY2sh_ZuSeUiDJIekBFkTYpkXJtr4VXcCexVV
Q
•
•
•
Module Overview -
Artificial Intelligence
•
•
•
•
•
ModuleOverview -MachineLearningFundamentals
LEARNING OUTCOME DESCRIPTION
LO1 Recognize the ethical implications of machine learning
LO2 Apply appropriate data sourcing and handling principles
LO3 Build and evaluate advanced machine learning models in various problem domains
LO4 Extract, interpret and evaluate information and knowledge from non-trivial real-world data
sets
LO5 Comprehend, analyze and evaluate key concepts in machine learning
References
•
• https://medium.com/towards-artificial-intelligence/differences-between-ai-and-machine-learning-and-why-it-
matters-1255b182fc6
• https://builtin.com/artificial-intelligence
• https://www.oracle.com/ie/artificial-intelligence/what-is-artificial-intelligence.html
Thank you and
Questions
please…

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