Question

Data used to develop a machine learning model is

Data used to develop a machine learning model is

Homework Answers

Answer #1

The data which is used to develop a machine learning model totally depends on the type of model that is being created.

Which Type of solution is being provided for example the classification problem solution etc.

Online is a good source to find those data which will be provided by different data bases also the data that is being used should also be labelled.

Web Scraping is a good technique to gather such data.After getting the data preparation phase starts which will fine tune the data according to the model being developed.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
what is the difference between machine learning and data analytics
what is the difference between machine learning and data analytics
When training a machine learning model with some dataset, what are some assumptions we are making...
When training a machine learning model with some dataset, what are some assumptions we are making about the data? What are some things that it is important for us not to assume? Please give a few examples for each.
Hi ! I am doing Implementation a Machine Learning Model and Test the Training Algorithm on...
Hi ! I am doing Implementation a Machine Learning Model and Test the Training Algorithm on Data. I chose Decision tree as my algorithm. I need to make sure if my coding is right or not/ I am also finding difficult to test on my data. Any help would be appreciated. Thank you !
What kind of machine learning model do you feel is the most transparent in making decisions?...
What kind of machine learning model do you feel is the most transparent in making decisions? Why?
What factors are leading to the new explosion in machine learning now used by organizations and...
What factors are leading to the new explosion in machine learning now used by organizations and making its way into consumer products? Research firms that provide low-cost access to machine learning tools and give examples of products and services developed using these technologies.
The Emerson Corporation, a manufacturer of airplane landing gear equipment, is trying to develop a learning...
The Emerson Corporation, a manufacturer of airplane landing gear equipment, is trying to develop a learning curve model to help forecast labor costs for successive units of one of its products. From past data, the firm knows that labor costs of the 25th, 75th, and 125th units were $700, $500, and $400, respectively. Using the learning curve equation for these labor costs, log10C=3.32596−0.34112×log10Qlog10C=3.32596−0.34112×log10Q What is the estimated cost of the 200th unit of output? $357 $348 $367 The model estimates...
End of Section Problem 14.1 (Essay) Use the following data to develop a quadratic model to...
End of Section Problem 14.1 (Essay) Use the following data to develop a quadratic model to predict y from x. Develop a simple regression model from the data and compare the results of the two models. Does the quadratic model seem to provide any better predictability? Why or why not? x y x y 14 200 15 247 9 74 8 82 6 29 5 21 21 456 10 94 17 320
Business analytics MBA- There are a number of learning scenarios or types of learning algorithms, that...
Business analytics MBA- There are a number of learning scenarios or types of learning algorithms, that can be used depending on whether a target variable is available and how much labeled data can be used. These approaches include supervised, unsupervised, and semi-supervised learning. Explain the difference between each type of machine learning. Give an example of how each is used. Write your responses in detail with examples. Be sure to identify the source of your example in your posting. Your...
a) Explain the logic, uses and limitatios of the learning curve model. b)How the learning curve...
a) Explain the logic, uses and limitatios of the learning curve model. b)How the learning curve model will affect the calculations
1. Match the following Machine Learning algorithms to their descriptions: 1. Linear Regression                          &nbsp
1. Match the following Machine Learning algorithms to their descriptions: 1. Linear Regression                                      A. A system of assigning values by sorting data through a series of questions which can be represented in a flow     chart. 2.  Linear Discriminant Analysis B. A classifier which uses data points of known class to vote on which class a new point would belong in. 3. Decision Tree                                                   C. An algorithm that calculates a line to represent a set of data which is more or less...