answersLogoWhite

0

Unsupervised Learning

• The model is not provided with the correct results

during the training.

• Can be used to cluster the input data in classes on

the basis of their statistical properties only.

• Cluster significance and labeling.

• The labeling can be carried out even if the labels are

only available for a small number of objects

representative of the desired classes.

Supervised Learning

• Training data includes both the input and the

desired results.

• For some examples the correct results (targets) are

known and are given in input to the model during

the learning process.

• The construction of a proper training, validation and

test set (Bok) is crucial.

• These methods are usually fast and accurate.

• Have to be able to generalize: give the correct

results when new data are given in input without

knowing a priori the target.

User Avatar

Wiki User

12y ago

What else can I help you with?

Continue Learning about Statistics

What is the difference between the direct and indirect methods of determining generation time with a growth curve?

In the direct method, the cells are enumerated by determining colony-forming units on a Petri dish; in the indirect method, the cell numbers are approximated using a spectrophotometer.


What is the difference between qualtatative and qauntative?

Some methods provide data which are quantitative and some methods data which are qualitative. Quantitative methods are those which focus on numbers and frequencies rather than on meaning and experience. Quantitative methods (e.g. experiments, questionnaires and psychometric tests) provide information which is easy to analyse statistically and fairly reliable. Quantitative methods are associated with the scientific and experimental approach and are criticised for not providing an in depth description. Qualitative methods are ways of collecting data which are concerned with describing meaning, rather than with drawing statistical inferences. What qualitative methods (e.g. case studies and interviews) lose on reliability they gain in terms of validity. They provide a more in depth and rich description.


What are the Difference between Probabilistic sampling methods and non probabilistic sampling methods?

With a probabilistic method, each member of the population has the same probability of being selected for the sample. Equivalently, given a sample size, every sample of that size has the same probability of being the sample which is selected. With such a sample it is easier to find an unbiased estimate of common statistical measures. None of this is true for non-probabilistic sampling.


What is the difference between time series and regression analysis?

A time series is a sequence of data points, measured typically at successive points in time spaced at uniformed time intervals. Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics. Regression analysis is a statistical process for estimating the relationship among variables.


What are the methods in collect data?

There are five different methods in collecting data. The methods in data collect are registration, questionnaires, interviews, direct observations, and reporting.

Related Questions

What are the key differences between supervised and unsupervised data mining techniques and how do they impact the outcomes of the analysis?

Supervised data mining techniques require labeled data for training, while unsupervised techniques do not. Supervised methods are used for prediction and classification tasks, while unsupervised methods are used for clustering and pattern recognition. The choice of technique impacts the accuracy and interpretability of the analysis results.


What are some of the current widespread Machine Learning algorithms?

Machine Learning can be supervised, unsupervised, semi-supervised, or reinforced. From the supervised algorithms, some of the common methods include Naive bayes classifiers and Support Vector Machines. Unsupervised learning includes k-means and hierarchical clustering.


What is the difference between methods and events in c?

There are no methods or events in C.


What is the difference between science and scientific methods?

== ==


What is unsupervised ror?

Unsupervised ROR (Rate of Return) typically refers to an analysis method in finance where returns on investments are evaluated without predefined labels or categories. In unsupervised learning, algorithms identify patterns and relationships in data without prior training on labeled datasets. This approach can help in clustering investment performance or identifying trends in financial data that may not be immediately apparent. It contrasts with supervised methods, which rely on historical data with known outcomes to train models.


What are the differences between Montessori and kindergarten methods?

No difference


What is the difference between internal criticism and external criticism in reseach methods?

jok


What is the difference between the methods used to broil chicken and turkey?

The time in which you cook it.


What is the difference between strings and lists in Python?

They have different methods, and they display differently when printed.


Methods of allocating disk space?

what is the difference between a file system and a database system?


What is the main difference between numerical methods used to determine integrals?

Because it is STUPID


What are the differences between old and new irrigation methods?

t are the difference between old and new irrigation method

Trending Questions
What are the two main goals of time series analysis? Does a normal curve ever intersect the x axis? What is the probability of it raining in spring? Thomas happened to notice that at 4PM on his uncles farm a fence post that was 5 feet tall cast a 2 foot shadow He also noticed that a nearby tree cast a 10 foot shadow How tall is the tree? If a game there are two fair number cubes that are rolled To make the first move you need to roll a total of 6 or 7 or 8 What is the probability that you will be able to make the first move? If you were 5ft 1 would 7st be a good weight? If you roll two standard dice what is the probability that the sum of their spot values will be a prime number? What does it mean to say that an experimental outcome is statiscally significant? There were 6 purple socks and 4 orange socks in a drawer Zucky picked one sock without looking and then another without looking replacing the first what is the probability that he picked 2 purple? What is 0.995 rounded to the nearest tenths? What is the average weigh of a 10 year old that is 4ft 6in? Is 0.2 greater than 0.22 repeated? What is the probability of getting a red card from a deck of cards? How much should a 5 foot 9 in guy weigh? Is statistics an adjective? How do you reduce the terms if the probability of drawing a face card is 12 in 52? If you got your Period on July 5th and then you got it again on July 25th could you be pregnant? What is the probability of drawing a queen or a club from a deck of cards? How do you write 1425 as a percentage? Which measure of central tendency is the most appropriate for her to report to the company?