What algorithms are good to predict next numbers? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsWhat are recommended waystools for processing large data from Excel Files?ML technique to predict next onlineWhat are the most suitable machine learning algorithms according to type of data?What Are Stats Metrics To Analyze How Well One Column Predicts Another ColumnWhat are some data sources with strong positive and negative correlations in feature and sample space?How to predict next year's gross revenue given this year's data?What are appropriate labels for age categorical labels?Dataset with features as SNOWMED codes and outputs as names of medications prescribed.What are some ML algorithms that suit this case?What should be the requirement for training data in order to obtain a good regression model using neural network?What do “compile” , “fit” and “predict” do in Keras sequential models?
Is it common practice to audition new musicians 1-2-1 before rehearsing with the entire band?
What is the longest distance a player character can jump in one leap?
8 Prisoners wearing hats
How to show element name in portuguese using elements package?
What do you call the main part of a joke?
Crossing US/Canada Border for less than 24 hours
Dating a Former Employee
How come Sam didn't become Lord of Horn Hill?
Irreducible of finite Krull dimension implies quasi-compact?
What is this building called? (It was built in 2002)
Can anything be seen from the center of the Boötes void? How dark would it be?
Compare a given version number in the form major.minor.build.patch and see if one is less than the other
What is the escape velocity of a neutron particle (not neutron star)
Where are Serre’s lectures at Collège de France to be found?
Why didn't Eitri join the fight?
Why are both D and D# fitting into my E minor key?
Can melee weapons be used to deliver Contact Poisons?
Do square wave exist?
How would a mousetrap for use in space work?
Maximum summed powersets with non-adjacent items
Is it ethical to give a final exam after the professor has quit before teaching the remaining chapters of the course?
Did MS DOS itself ever use blinking text?
Why do the resolve message appear first?
Circuit to "zoom in" on mV fluctuations of a DC signal?
What algorithms are good to predict next numbers?
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsWhat are recommended waystools for processing large data from Excel Files?ML technique to predict next onlineWhat are the most suitable machine learning algorithms according to type of data?What Are Stats Metrics To Analyze How Well One Column Predicts Another ColumnWhat are some data sources with strong positive and negative correlations in feature and sample space?How to predict next year's gross revenue given this year's data?What are appropriate labels for age categorical labels?Dataset with features as SNOWMED codes and outputs as names of medications prescribed.What are some ML algorithms that suit this case?What should be the requirement for training data in order to obtain a good regression model using neural network?What do “compile” , “fit” and “predict” do in Keras sequential models?
$begingroup$
Let's consider we have several hundreds of numbers like ( 1, 2, 5, 8, 7, 15, 19, 8, 4, 6, ...) those are closed numbers of a stock on consecutive days for example. I like to know what algorithms are good to predict next numbers? Is it possible to find a relationship between this sequence of numbers or we need extra input data to make a prediction?
I am completely new on this and seeking some ideas and guidance for a new comer in data science field(although I have some experience in machine learning and image and voice recognition).
data prediction sequence
asked Nov 16 '18 at 8:50
HasaniHasani
61
$endgroup$
bumped to the homepage by Community♦ 31 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
Let's consider we have several hundreds of numbers like ( 1, 2, 5, 8, 7, 15, 19, 8, 4, 6, ...) those are closed numbers of a stock on consecutive days for example. I like to know what algorithms are good to predict next numbers? Is it possible to find a relationship between this sequence of numbers or we need extra input data to make a prediction?
I am completely new on this and seeking some ideas and guidance for a new comer in data science field(although I have some experience in machine learning and image and voice recognition).
data prediction sequence
asked Nov 16 '18 at 8:50
HasaniHasani
61
$endgroup$
bumped to the homepage by Community♦ 31 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
Let's consider we have several hundreds of numbers like ( 1, 2, 5, 8, 7, 15, 19, 8, 4, 6, ...) those are closed numbers of a stock on consecutive days for example. I like to know what algorithms are good to predict next numbers? Is it possible to find a relationship between this sequence of numbers or we need extra input data to make a prediction?
I am completely new on this and seeking some ideas and guidance for a new comer in data science field(although I have some experience in machine learning and image and voice recognition).
data prediction sequence
asked Nov 16 '18 at 8:50
HasaniHasani
61
$endgroup$
Let's consider we have several hundreds of numbers like ( 1, 2, 5, 8, 7, 15, 19, 8, 4, 6, ...) those are closed numbers of a stock on consecutive days for example. I like to know what algorithms are good to predict next numbers? Is it possible to find a relationship between this sequence of numbers or we need extra input data to make a prediction?
I am completely new on this and seeking some ideas and guidance for a new comer in data science field(although I have some experience in machine learning and image and voice recognition).
data prediction sequence
data prediction sequence
asked Nov 16 '18 at 8:50
HasaniHasani
61
asked Nov 16 '18 at 8:50
HasaniHasani
61
asked Nov 16 '18 at 8:50
HasaniHasani
61
asked Nov 16 '18 at 8:50
HasaniHasani
61
asked Nov 16 '18 at 8:50
HasaniHasani
61
61
bumped to the homepage by Community♦ 31 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 31 mins ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Hi this can be approached as a timeseries regression problem. Deep learning (tools like Tensorflow or Keras a higher level API) can be very effective in this. It depends on many factors like the amount and quality of your data, the architecture, the complexity of the problem and hyper parameters whether it will be useful to you. machinelearningmastery.com has many examples of LSTM have a look at it! Maybe start with this. As you can see in the examples in 2 having the numbers you mentioned and the sequence in which they occured could be enough to predict the next number(s). Usually adding more information to your neural network should make it improve.
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
$endgroup$
add a comment |
Your Answer
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f41298%2fwhat-algorithms-are-good-to-predict-next-numbers%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Hi this can be approached as a timeseries regression problem. Deep learning (tools like Tensorflow or Keras a higher level API) can be very effective in this. It depends on many factors like the amount and quality of your data, the architecture, the complexity of the problem and hyper parameters whether it will be useful to you. machinelearningmastery.com has many examples of LSTM have a look at it! Maybe start with this. As you can see in the examples in 2 having the numbers you mentioned and the sequence in which they occured could be enough to predict the next number(s). Usually adding more information to your neural network should make it improve.
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
$endgroup$
add a comment |
$begingroup$
Hi this can be approached as a timeseries regression problem. Deep learning (tools like Tensorflow or Keras a higher level API) can be very effective in this. It depends on many factors like the amount and quality of your data, the architecture, the complexity of the problem and hyper parameters whether it will be useful to you. machinelearningmastery.com has many examples of LSTM have a look at it! Maybe start with this. As you can see in the examples in 2 having the numbers you mentioned and the sequence in which they occured could be enough to predict the next number(s). Usually adding more information to your neural network should make it improve.
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
$endgroup$
add a comment |
$begingroup$
Hi this can be approached as a timeseries regression problem. Deep learning (tools like Tensorflow or Keras a higher level API) can be very effective in this. It depends on many factors like the amount and quality of your data, the architecture, the complexity of the problem and hyper parameters whether it will be useful to you. machinelearningmastery.com has many examples of LSTM have a look at it! Maybe start with this. As you can see in the examples in 2 having the numbers you mentioned and the sequence in which they occured could be enough to predict the next number(s). Usually adding more information to your neural network should make it improve.
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
$endgroup$
Hi this can be approached as a timeseries regression problem. Deep learning (tools like Tensorflow or Keras a higher level API) can be very effective in this. It depends on many factors like the amount and quality of your data, the architecture, the complexity of the problem and hyper parameters whether it will be useful to you. machinelearningmastery.com has many examples of LSTM have a look at it! Maybe start with this. As you can see in the examples in 2 having the numbers you mentioned and the sequence in which they occured could be enough to predict the next number(s). Usually adding more information to your neural network should make it improve.
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
edited Nov 16 '18 at 22:04
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
answered Nov 16 '18 at 9:02
BKersbergenBKersbergen
12
12
add a comment |
add a comment |
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f41298%2fwhat-algorithms-are-good-to-predict-next-numbers%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
