Machine Learning Module 1

What is Machine learning?

• The autonomous acquisition of knowledge through the use of computer programs

• The autonomous acquisition of knowledge through the use of manual programs

• The selective acquisition of knowledge through the use of computer programs

• The selective acquisition of knowledge through the use of manual programs

ML is a field of AI consisting of learning algorithms that?

• Improve their performance

• At executing some task

• Over time with experience

• All of the above

Different learning methods do not include?

• Memorization

• Analogy

• Introduction

• Deduction

Identify the Goals and applications of machine learning ?

• Image Recognition

• face detection

• recognition algorithm

• Computer speech recognition

In order to choose the right training experience for your algorithm, consider these Attributes

• Type of Feedback

• Degree

• Representation

• None

Is known as "A task of acquiring potential hypothesis (solution) that best fits the given training examples."

• Learning

• Taking

• Learning Task

• Concept of Learning Task

It can be viewed as the task of searching through a large space of hypotheses implicitly defined by the hypothesis representation. Is Known as ?

• Learning Task

• Concept of Learning Task

• Concept of Learning Task - Training

• Concept of Learning Task - Search

Which technique identifies the hypothesis that best matches all of the positive cases

• Find - S

• Find(S)-Search

• Candidate Pass Method

• Candidate Elimination method

The final design consists of how many modules ?

• 1

• 2

• 3

• 4

The training experience refers to the extent up to which the learner can control the sequence of training is Known as ?

• Data Representation

• Degree

• Types of Data

• Types of Feedback