PDM pertemuan 2 Quizizz

What is artificial intelligence?

• Artificial intelligence is not real intelligence, it is fake and cannot be considered real intelligence

• Artificial intelligence refers to the technologies that create the cognitive capabilities of human beings in a machine

• The intelligence created for animals

• Artificial intelligence is a part of Machine Learning

Choose the correct statement

• Machine Learning is a type if Deep Learning

• Deep Learning is one of the Artificial Intelligence technologies

• NLP is the acronym for Neural Learning Process

• NLG and NLP are the same technology

What is Machine Learning?

• Machine Learning is a part of Deep Learning

• Machine Learning is the study of applying mathematical techniques to process historical data, identify the patterns, and learn

• We use machines such as Computers for learning. This is machine learning

• Machine Learning is machine-based data analytics

Find the odd man out

• Machine Learning

• Natural Language Processing

• Natural Language Generation

• Blockchain

• Computer Vision

What is the correct answer?

• 35

• 40

• 55

• 50

• 43

How does a K-Nearest Neighbor algorithm work in Machine Learning?

• KNN algorithm directly builds the model

• Finds the k nearest neighbors and find out the classification of the majority of them and decide the result

• KNN model works on Association Rule

• KNN is not a Machine Learning model

What is a Linear Regression Model?

• Given the d attributes, we build the result as a function of these d atrributes. We use this function to solve the problem for other data

• Given the d attributes, we build the result as a linear function of these d attributes. We use tthis linear function to solve the problem for other data

• Given the d attributes, we build the relationship between these d attributes. We use this relationship to solve the problem for other data

• Given the d attributes, we build the result as a model. We use this model to solve the problem for other data.

What is the difference between Linear Regression and Logistic Regression?

• Linear Regression uses the linear function but logistic regression does not use a linear function

• Linear Regression computes the result as a real value. But Logistic Regression is used for classification problem and hence computes the result as a binary value, either 1 and 0 or 1 and -1

• Both of them use linear functions but logistic regression then applies some high-level quadratic and cubic functions.

• Logistic Regression uses the association rule

How do we build Machine Learning programs to solve a problem?

• Building a model and training the model using historical data and using the model for problem-solving

• Use the model to build training data and test it using test data

• Machines cannot think. So, in Machine Learning, the well defined program is given and we use data to validate it

• Machine Learning is about using the data for testing

If you want to build a Machine Learning based solution for a problem, what is the key requirement?

• Historical Data. The data must have input as well as output

• Understanding of the problem

• A clear understanding of the solution

• Mathematics, Computer Science and Statistics