Books on time series and sequence classificationTime series classificationUsing RNN (LSTM) for predicting one future value of a time seriesRNN time-series predictions with multiple features containing non-numeric features and numeric features?Why are RNN/LSTM preferred in time series analysis and not other NN?Time Series prediction using LSTMs: Importance of making time series stationaryLSTM for time series forecasting with H20.aiKeras LSTM with 1D time seriesTime series pixel classificationBinary classification model with time series as variablesInput shape for simpler time series in LSTM+CNN
Why is there so much iron?
Writing in a Christian voice
World War I as a war of liberals against authoritarians?
Why didn't Héctor fade away after this character died in the movie Coco?
How are passwords stolen from companies if they only store hashes?
How does 取材で訪れた integrate into this sentence?
I got the following comment from a reputed math journal. What does it mean?
The average age of first marriage in Russia
Print a physical multiplication table
Generic TVP tradeoffs?
A Ri-diddley-iley Riddle
Asserting that Atheism and Theism are both faith based positions
Calculate the frequency of characters in a string
Do US professors/group leaders only get a salary, but no group budget?
Worshiping one God at a time?
Would it be believable to defy demographics in a story?
Can a wizard cast a spell during their first turn of combat if they initiated combat by releasing a readied spell?
In Aliens, how many people were on LV-426 before the Marines arrived?
Relation between independence and correlation of uniform random variables
Recruiter wants very extensive technical details about all of my previous work
Should I use acronyms in dialogues before telling the readers what it stands for in fiction?
Why are there no stars visible in cislunar space?
Do native speakers use "ultima" and "proxima" frequently in spoken English?
How to get the n-th line after a grepped one?
Books on time series and sequence classification
Time series classificationUsing RNN (LSTM) for predicting one future value of a time seriesRNN time-series predictions with multiple features containing non-numeric features and numeric features?Why are RNN/LSTM preferred in time series analysis and not other NN?Time Series prediction using LSTMs: Importance of making time series stationaryLSTM for time series forecasting with H20.aiKeras LSTM with 1D time seriesTime series pixel classificationBinary classification model with time series as variablesInput shape for simpler time series in LSTM+CNN
$begingroup$
Though I have been using traditional machine learning algorithms (Regression and Classification) , I have no experience of using Time series and would like to understand what is time series and different approaches(ex:ARIMA,SARIMA,SARIMAX, LSTM etc) used for time series analysis. I also see that people use LSTM's/RNN for time series/sequence classification. Can you people recommend me a book that discusses the above algorithms and how Time series is different from sequence classification etc?
machine-learning deep-learning time-series lstm books
edited 9 hours ago
Media
7,35062161
asked 9 hours ago
SELVASELVA
211
$endgroup$
add a comment |
$begingroup$
Though I have been using traditional machine learning algorithms (Regression and Classification) , I have no experience of using Time series and would like to understand what is time series and different approaches(ex:ARIMA,SARIMA,SARIMAX, LSTM etc) used for time series analysis. I also see that people use LSTM's/RNN for time series/sequence classification. Can you people recommend me a book that discusses the above algorithms and how Time series is different from sequence classification etc?
machine-learning deep-learning time-series lstm books
edited 9 hours ago
Media
7,35062161
asked 9 hours ago
SELVASELVA
211
$endgroup$
add a comment |
$begingroup$
Though I have been using traditional machine learning algorithms (Regression and Classification) , I have no experience of using Time series and would like to understand what is time series and different approaches(ex:ARIMA,SARIMA,SARIMAX, LSTM etc) used for time series analysis. I also see that people use LSTM's/RNN for time series/sequence classification. Can you people recommend me a book that discusses the above algorithms and how Time series is different from sequence classification etc?
machine-learning deep-learning time-series lstm books
edited 9 hours ago
Media
7,35062161
asked 9 hours ago
SELVASELVA
211
$endgroup$
Though I have been using traditional machine learning algorithms (Regression and Classification) , I have no experience of using Time series and would like to understand what is time series and different approaches(ex:ARIMA,SARIMA,SARIMAX, LSTM etc) used for time series analysis. I also see that people use LSTM's/RNN for time series/sequence classification. Can you people recommend me a book that discusses the above algorithms and how Time series is different from sequence classification etc?
machine-learning deep-learning time-series lstm books
machine-learning deep-learning time-series lstm books
edited 9 hours ago
Media
7,35062161
asked 9 hours ago
SELVASELVA
211
edited 9 hours ago
Media
7,35062161
asked 9 hours ago
SELVASELVA
211
edited 9 hours ago
Media
7,35062161
edited 9 hours ago
Media
7,35062161
edited 9 hours ago
Media
7,35062161
7,35062161
asked 9 hours ago
SELVASELVA
211
asked 9 hours ago
SELVASELVA
211
asked 9 hours ago
SELVASELVA
211
211
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
There are numerous topics that you've mentioned but I will suggest those which I've read and are helpful.
For hidden markov models and markov processes I suggest reading Pattern Classification by Richard O. Duda. You can also take a look at Pattern Recognition and Machine Learning by Christopher Bishop. For better understanding Markov processes and their behaviour, you can also take the course stochastic process which is also known as random process. I suggest taking that course before reading any book, because you may need some help if you're not very familiar to the concepts.
For LSTMs, I highly suggest taking a look at the fifth course of deep learning on coursera by pr. Andrew Ng. If you do their homework you can realise how the inner operations exactly work and you'll have a very deep understanding of time series and what their nature is. After that, you can take a look at the Deep Learning book by Ian Goodfellow.
answered 9 hours ago
MediaMedia
7,35062161
$endgroup$
add a comment |
Your Answer
StackExchange.ifUsing("editor", function ()
return StackExchange.using("mathjaxEditing", function ()
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
);
);
, "mathjax-editing");
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%2f47479%2fbooks-on-time-series-and-sequence-classification%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
$begingroup$
There are numerous topics that you've mentioned but I will suggest those which I've read and are helpful.
For hidden markov models and markov processes I suggest reading Pattern Classification by Richard O. Duda. You can also take a look at Pattern Recognition and Machine Learning by Christopher Bishop. For better understanding Markov processes and their behaviour, you can also take the course stochastic process which is also known as random process. I suggest taking that course before reading any book, because you may need some help if you're not very familiar to the concepts.
For LSTMs, I highly suggest taking a look at the fifth course of deep learning on coursera by pr. Andrew Ng. If you do their homework you can realise how the inner operations exactly work and you'll have a very deep understanding of time series and what their nature is. After that, you can take a look at the Deep Learning book by Ian Goodfellow.
answered 9 hours ago
MediaMedia
7,35062161
$endgroup$
add a comment |
$begingroup$
There are numerous topics that you've mentioned but I will suggest those which I've read and are helpful.
For hidden markov models and markov processes I suggest reading Pattern Classification by Richard O. Duda. You can also take a look at Pattern Recognition and Machine Learning by Christopher Bishop. For better understanding Markov processes and their behaviour, you can also take the course stochastic process which is also known as random process. I suggest taking that course before reading any book, because you may need some help if you're not very familiar to the concepts.
For LSTMs, I highly suggest taking a look at the fifth course of deep learning on coursera by pr. Andrew Ng. If you do their homework you can realise how the inner operations exactly work and you'll have a very deep understanding of time series and what their nature is. After that, you can take a look at the Deep Learning book by Ian Goodfellow.
answered 9 hours ago
MediaMedia
7,35062161
$endgroup$
add a comment |
$begingroup$
There are numerous topics that you've mentioned but I will suggest those which I've read and are helpful.
For hidden markov models and markov processes I suggest reading Pattern Classification by Richard O. Duda. You can also take a look at Pattern Recognition and Machine Learning by Christopher Bishop. For better understanding Markov processes and their behaviour, you can also take the course stochastic process which is also known as random process. I suggest taking that course before reading any book, because you may need some help if you're not very familiar to the concepts.
For LSTMs, I highly suggest taking a look at the fifth course of deep learning on coursera by pr. Andrew Ng. If you do their homework you can realise how the inner operations exactly work and you'll have a very deep understanding of time series and what their nature is. After that, you can take a look at the Deep Learning book by Ian Goodfellow.
answered 9 hours ago
MediaMedia
7,35062161
$endgroup$
There are numerous topics that you've mentioned but I will suggest those which I've read and are helpful.
For hidden markov models and markov processes I suggest reading Pattern Classification by Richard O. Duda. You can also take a look at Pattern Recognition and Machine Learning by Christopher Bishop. For better understanding Markov processes and their behaviour, you can also take the course stochastic process which is also known as random process. I suggest taking that course before reading any book, because you may need some help if you're not very familiar to the concepts.
For LSTMs, I highly suggest taking a look at the fifth course of deep learning on coursera by pr. Andrew Ng. If you do their homework you can realise how the inner operations exactly work and you'll have a very deep understanding of time series and what their nature is. After that, you can take a look at the Deep Learning book by Ian Goodfellow.
answered 9 hours ago
MediaMedia
7,35062161
answered 9 hours ago
MediaMedia
7,35062161
answered 9 hours ago
MediaMedia
7,35062161
answered 9 hours ago
MediaMedia
7,35062161
7,35062161
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%2f47479%2fbooks-on-time-series-and-sequence-classification%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
