Challenges in Building Expert Systems for Image Recognition

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Why is it challenging for a human to come up with a set of rules to describe what constitutes a cat in a digital image?

Humans do not have the required knowledge to describe a cat in a digital image.

Humans are not good at understanding how computers perceive images.

Humans perceive pixels in a similar way to computers.

The representation of pixels in an image is different for humans and computers. (correct)

What is the primary advantage of using machine learning to identify faces in images?

It allows humans to perceive images like computers do.

It provides a good set of rules for image analysis.

It eliminates the need for experience in image recognition.

It enables algorithms to determine characteristics needed for face identification. (correct)

What is the main difference between writing a program for traditional problem-solving and writing a program for machine learning?

Traditional programs explicitly define solutions, while machine learning programs facilitate learning from data. (correct)

Traditional programming requires explicit problem-solving rules, while machine learning programs allow learning from experiences.

Traditional programs utilize artificial intelligence, while machine learning programs focus on statistical analysis.

Traditional programs focus on data collection, while machine learning programs focus on problem-solving.

What domain of artificial intelligence does machine learning fall under?

Pattern Recognition Signup and view all the answers

What kind of tasks can best be addressed using machine learning?

Tasks involving data or signals from the real world Signup and view all the answers

Why is machine learning particularly useful for face detection and speech recognition?

It enables machines to learn and improve without explicit programming. Signup and view all the answers

What is the objective of a classification problem?

To train an algorithm with minimum error using objects of known class labels Signup and view all the answers

In the context of classification, what is a training set?

A sample of objects with known class labels used to train an algorithm Signup and view all the answers

Which of the following is a key consideration when assessing a function's performance on unseen data?

Generalization Signup and view all the answers

What differentiates a classification problem from other types of pattern recognition problems?

The existence of objects with known class labels in the training set Signup and view all the answers

What role does the class label of an object play in a classification problem?

It indicates the class to which the object belongs Signup and view all the answers

Why is it essential to train a classification algorithm using objects with known class labels?

To enable the algorithm to learn and classify new objects correctly Signup and view all the answers

What is a prerequisite for building a machine learning system?

Having a large amount of data available Signup and view all the answers

What is one of the challenges of machine/deep learning?

Dealing with noisy data reflections Signup and view all the answers

What is generalization in the context of machine learning?

Predicting the results of a situation never encountered before Signup and view all the answers

Why is it important to formalize the learning problem?

To understand when machine learning will work Signup and view all the answers

What is an assumption made in machine learning?

Future results will be similar to past experiences Signup and view all the answers

What is estimation in the context of machine learning?

Making estimates or predictions about an underlying quantity Signup and view all the answers

How is a classifier represented by a decision function?

By assigning x to the first class if f(x) = 1 and to the second class if f(x) = -1 Signup and view all the answers

What is the key role of the sigmoid function in logistic regression?

Determining the probability of y=1 given x, W, and b Signup and view all the answers

In logistic regression, how is the decision about the class assignment made?

By comparing the output of the sigmoid function to a threshold Signup and view all the answers

What does logistic regression aim to predict?

The probability of an instance belonging to the first class Signup and view all the answers

How does the sigmoid function contribute to logistic regression?

By normalizing the weighted sum of features to a probability Signup and view all the answers

What is the significance of the weight matrix and bias vector in logistic regression?

Defining the shape of the decision boundary between classes Signup and view all the answers

What does a labeled dataset contain in supervised machine learning?

Pairs of inputs (x, y) Signup and view all the answers

Which space does the input vector 𝒙𝒊 belong to?

Feature space Signup and view all the answers

What defines the tasks in supervised learning?

The label space 𝑪 Signup and view all the answers

What is an example of a classification task in supervised learning?

Binary classification Signup and view all the answers

What is the role of machine learning models in making inferences?

Estimating the output based on input data Signup and view all the answers

Which type of dataset contains examples with only features?

Unlabeled dataset Signup and view all the answers