Study of algorithms that improve automatically through experience
When did the term 'machine learning' first gain prominence?
Card 1
Who is considered a foundational figure in the field of machine learning due to their work on perceptrons?
Card 2
What is the core principle that differentiates machine learning from traditional programming?
Card 3
What is the significance of the Turing Test in relation to machine learning?
Card 4
What is the primary difference between supervised and unsupervised learning?
Card 5
What is overfitting in machine learning, and why is it problematic?
Card 6
What is the role of a 'loss function' in the training of a machine learning model?
Card 7
What is the purpose of cross-validation in machine learning?
Card 8
What is the approximate percentage of data typically used for training a machine learning model, leaving the rest for testing?
Card 9
What is the key characteristic of reinforcement learning?
Card 10
Who developed the concept of decision trees, a fundamental algorithm in machine learning?
Card 11
What is the significance of the 'bias-variance tradeoff' in machine learning?
Card 12
What is the primary application of dimensionality reduction techniques in machine learning?
Card 13
What is the role of feature engineering in machine learning?
Card 14
What is the difference between batch gradient descent and stochastic gradient descent?
Card 15
In what year was the Deep Blue computer defeated by Garry Kasparov?
Card 16
What is the purpose of regularization in machine learning?
Card 17
What is the approximate number of parameters in a large language model like GPT-3?
Card 18
What is the main goal of clustering algorithms?
Card 19
What is the role of activation functions in artificial neural networks?
Card 20
When was the term 'machine learning' coined?
Card 21
Who is considered a foundational figure in the field of Artificial Intelligence, and early machine learning?
Card 22
What is the core concept behind supervised learning?
Card 23
What distinguishes reinforcement learning from supervised and unsupervised learning?
Card 24
What is the primary goal of unsupervised learning?
Card 25
What is the approximate percentage of accuracy achieved by machine learning algorithms in image recognition tasks since the 2012 ImageNet competition?
Card 26
What is overfitting in the context of machine learning?
Card 27
Who developed the k-Nearest Neighbors algorithm?
Card 28
What is the difference between generative and discriminative models?
Card 29
When did the first neural networks emerge as a field of research?
Card 30
What is the significance of the dataset used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC)?
Card 31
What is the role of activation functions in neural networks?
Card 32
What is the primary application of Principal Component Analysis (PCA)?
Card 33
What is the approximate number of parameters in large language models like GPT-3?
Card 34
What is the purpose of regularization techniques in machine learning?
Card 35
In what year was the backpropagation algorithm, crucial for training neural networks, popularized?
Card 36