Question 1Which of the following is not true about Machine Learning?1 pointMachine Learning was inspired by the learning process of human beings.Machine learning gives computers the ability to make decision by writing down rules and methods and being explicitly programmed.Machine Learning models help us in tasks such as object recognition, summarization, and recommendation.Machine Learning models iteratively learn from data and allow computers to find hidden insights.

Which of the following is NOT an attribute of Machine Learning? 1 pointMachine Learning defines behavioral rules by comparing large data sets to find common patternsMachine Learning models can be continuously trainedTakes data and answers as input and uses these inputs to create a set of rules that determine what the Machine Learning model will be Takes data and rules as input and uses these inputs to develop an algorithm that will give us an answer

Select the option that is the most INACCURATE regarding the definition of Machine Learning:1 pointMachine Learning allows computers to learn from dataMachine Learning allows computers to infer predictions for new dataMachine Learning is a subset of Artificial IntelligenceMachine Learning is automated and requires no programming

What is Machine learning?(1 Point)The autonomous acquisition of knowledge through the use of manual programsThe autonomous acquisition of knowledge through the use of computer programsThe selective acquisition of knowledge through the use of computer programsThe selective acquisition of knowledge through the use of manual programs

What is true about Machine Learning?The main focus of ML is to allow computer systems to learn from experience without being explicitly programmed or human intervention.ML is a type of artificial intelligence that extracts patterns out of raw data by using an algorithm or method.Machine Learning (ML) is the field of computer science.All of the above

What is machine learning