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INTRODUCTION TO AI (MACHINE LEARNING} MODEL FUNDAMENTALS EXAM STUDY GUIDE AND PRACTICE EXAM 2024/2025 | ACCURATE REAL EXAM QUESTIONS WITH VERIFIED ANSWERS | EXPERT VERIFIED FOR A GUARANTEED PASS | LATEST UPDATE$15.99
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INTRODUCTION TO AI (MACHINE LEARNING} MODEL FUNDAMENTALS EXAM STUDY GUIDE AND PRACTICE EXAM 2024/2025 | ACCURATE REAL EXAM QUESTIONS WITH VERIFIED ANSWERS | EXPERT VERIFIED FOR A GUARANTEED PASS | LATEST UPDATE
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INTRODUCTION TO AI
Institution
INTRODUCTION TO AI
INTRODUCTION TO AI (MACHINE LEARNING}
MODEL FUNDAMENTALS EXAM STUDY
GUIDE AND PRACTICE EXAM 2024/2025
| ACCURATE REAL EXAM QUESTIONS
WITH VERIFIED ANSWERS | EXPERT
VERIFIED FOR A GUARANTEED PASS |
LATEST UPDATE
INTRODUCTION TO AI (MACHINE LEARNING}
MODEL FUNDAMENTALS EXAM STUDY
GUIDE AND PRACTICE EXAM 2024/2025
| ACCURATE REAL EXAM QUESTIONS
WITH VERIFIED ANSWERS | EXPERT
VERIFIED FOR A GUARANTEED PASS |
LATEST UPDATE
,What is the definition of *learning from experience*
for a computer program? - ✔✔ANSW✔✔..A
computer program is said to *learn from experience*
E with respect to some *class of tasks* T and
*performance measure* P, if its performance at
tasks in T, as measured by P, improves with
experience E.
Which problems can be solved with unsupervised
learning? #2 - ✔✔ANSW✔✔..• approach problems
with little or no idea what our results should look like.
• derive structure from data where we don't
necessarily know the effect of the variables.
What is the definition of a *supervised learning
problem*? - ✔✔ANSW✔✔..Given a training set,
learn a function h such that h of an input variable x is
a "good" predictor for the corresponding output
variable y.
What is the definition of a *hypothesis*? -
✔✔ANSW✔✔..The predicting function h.
Give the *pictorial* process for a supervised learning
problem. - ✔✔ANSW✔✔..Supervised Learning
Problem.
,What do we call a learning problem, if the target
variable is continuous? - ✔✔ANSW✔✔..When the
target variable that we're trying to predict is
continuous, the learning problem is also called a
*regression problem*.
What do we call a learning problem, if the target
variable can take on only a small number of values?
- ✔✔ANSW✔✔..When y can take on only a small
number of discrete values, the learning problem is
also called a *classification problem*.
How do we measure the *accuracy* of a hypothesis
function? - ✔✔ANSW✔✔..By using a *cost function*,
usually denoted by J.
What is the definition of a *cost function* of a
supervised learning problem? -
✔✔ANSW✔✔..Takes an average difference of all
the results of the hypothesis with inputs from x's and
the actual output y's.
Give a pictorial representation of what the cost
function of a supervised learning problem does. -
✔✔ANSW✔✔..Cost function of a supervised
learning problem.
, What are alternative terms of a Cost Function? #2 -
✔✔ANSW✔✔..• *Squared error function*.
• *Mean squared error*.
What is a visual interpretation of the cost function?
#2 - ✔✔ANSW✔✔..• The training data set is
scattered on the X-Y plane.
• We are trying to make a straight line (defined by
hθ(x)) which passes through these scattered data
points.
What is the *contour line* of a two variable function?
- ✔✔ANSW✔✔..A *contour line* of a two variable
function has a *constant value* at all points of the
same line.
How do we implement an *iteration step* when
calculating Gradient Descent in code? #2 -
✔✔ANSW✔✔..• At each iteration j, one should
simultaneously update the parameters.
• Updating a specific parameter prior to calculating
another one on the j iteration would yield to a wrong
implementation.
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