Podcast
Questions and Answers
What mathematical discipline provides the foundations for Machine Learning?
What mathematical discipline provides the foundations for Machine Learning?
- Linear Algebra
- Calculus
- Number Theory
- Mathematical Optimization (correct)
Who coined the term 'machine learning' in 1959?
Who coined the term 'machine learning' in 1959?
- Alan Turing
- Marvin Minsky
- Arthur Samuel (correct)
- John McCarthy
Which field focuses on exploratory data analysis through unsupervised learning?
Which field focuses on exploratory data analysis through unsupervised learning?
- Predictive Modeling
- Data Mining (correct)
- Reinforcement Learning
- Statistical Inference
In the context of machine learning, what does PAC learning stand for?
In the context of machine learning, what does PAC learning stand for?
Which application area is NOT mentioned in the text as being impacted by machine learning?
Which application area is NOT mentioned in the text as being impacted by machine learning?
Who introduced a theoretical neural structure formed by interactions among nerve cells?
Who introduced a theoretical neural structure formed by interactions among nerve cells?
Which machine developed in the early 1960s used punched tape memory for learning?
Which machine developed in the early 1960s used punched tape memory for learning?
Who proposed early mathematical models of neural networks to come up with algorithms mirroring human thought processes?
Who proposed early mathematical models of neural networks to come up with algorithms mirroring human thought processes?
Which author provided a widely quoted definition of machine learning algorithms involving experience, tasks, and performance measures?
Which author provided a widely quoted definition of machine learning algorithms involving experience, tasks, and performance measures?
In which paper did Alan Turing replace the question 'Can machines think?' with 'Can machines do what we can do?'
In which paper did Alan Turing replace the question 'Can machines think?' with 'Can machines do what we can do?'
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