1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
MAVERICK [17]
3 years ago
9

12y + 29y +48y + 2ly + 13y + 7y

Mathematics
2 answers:
OverLord2011 [107]3 years ago
5 0
Answer: 130y

here you go!
Mama L [17]3 years ago
3 0

Answer:

Add all of the numbers then put a Y at the end.

Step-by-step explanation:

its just combining like terms, if their all Y. its jist adding with a letter at the end

You might be interested in
A container has 27/8 pounds of flour.
liq [111]

Answer:

18 people are in his class.

Step-by-step explanation:

27/8 / 3/16

27/8*16/3

3 0
3 years ago
The graph of a line has a slope of 3 and passes through the point (–4, –5). What is the equation of the line in point-slope form
Contact [7]
Y + 5 = 3(x + 4)
Because in point-slope format, it is: y-(y-value) = m (x-(x-value)), where m=slope, and the point: (-4,-5) can be written as: (x-value,y-value),
So y - -5 = 3 (x - -4)
3 0
3 years ago
Discuss the implications of an infinite-dimensional space in generalization ability of the hard-margin SVM. What are the strateg
Illusion [34]

The SVM classifier's generalization performance is improved by decreasing the VC dimension.

<h3>What is SVM ?</h3>

SVM stands for Support Vector Machine .

A potent machine learning technique for classification and regression is called a Support vector machine. The selection of a margin type is crucial if we want to use it to solve an issue.

A soft margin or a hard margin can be chosen on the basis of the data , If the data is linearly separable , hard margin is used , If the data is not separable linearly and misclassifications can be allowed then soft margin is used.

The hard margin SVM's capacity for generalization is significantly influenced by VC.

the SVM classifier's generalization performance is improved by decreasing the VC dimension.

We contend that by using dimensionality reduction and bootstrapping techniques, the VC dimension of an SVM classifier can be decreased.

The SVM classifier's performance was now enhanced by bootstrapping both the original data and the projected data that is dimensionally reduced .

To know more about SVM

brainly.com/question/17490061

#SPJ1

7 0
2 years ago
Find g(-4) if g(x) = 8x^2 + 4x
Nuetrik [128]

Answer:

Your answer would be -144

3 0
3 years ago
3/4 times what equals 1/4​
AnnyKZ [126]

Answer:

1/3

Step-by-step explanation:

3/4 * w = 1/4

Multiply both sides by 4 to clear the fractions

4 * 3/4 * w = 1/4 *4

3 W = 1

Divide each side by 3

3W /3 = 1/3

W = 1/3

3/4 * 1/3 = 1/4

3 0
3 years ago
Other questions:
  • Which of the following could be the lengths of the sides of a 30°-60°-90° triangle?
    11·2 answers
  • Please someone help me with this please
    15·1 answer
  • 360 miles in a tank o27f gas
    15·1 answer
  • Supervisor a earns a flat rate of $25 per hour, while supervisor b earns $20 per hour for the first 30 hours and then 50% more f
    8·1 answer
  • Another way to write 9 x 200
    14·2 answers
  • How do you unblock things on a cromebook?
    14·2 answers
  • Draw an area model. Then, solve using the standard algorithm. 3times41
    13·1 answer
  • Can you that special son plz help me out mad let it be correct!!!
    12·2 answers
  • I need help with this question...
    10·1 answer
  • Hello, please answer the question, please show work
    11·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!