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Results tagged with machine-learning
Search options not deleted user 65776
Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.
1 vote
How to deploy ML models in production?
I got some pointers (below links) to my doubts. Hope it helps other future readers as well. https://www.quora.com/How-do-you-take-a-machine-learning-model-to-production/answer/H%C3%A5kon-Hapnes-Stra …
- 451
3 votes
1 answer
289 views
How to deploy ML models in production?
Have been learning Machine Learning concepts and doing hands-on past few months. Now got a bit different doubt than implementation of code. This is regarding measures to be considered while deployin …
- 451
3 votes
1 answer
6k views
To remove Chinese characters as features -
I have created document-term matrix using TfIdfVectorizer, but just noticed the feature contains Chinese characters. Is it possible to remove them using Python's regex? I believe these characters ar …
- 451
2 votes
1 answer
362 views
Machine Learning in real time
I am a newbie in ML world, but very curious and enthusiastic about it. Have gone through articles and some hands-on too. Still got a silly doubt. In sample datasets (like Iris or diabetes or breast c …
- 451
1 vote
0 answers
107 views
Feature matrix for email classification:
This is in continuation of my earlier post. In my previous model, I used just two features which couldn't fare well and gave 71% prediction (accuracy) score. Now, I'm trying to consider another impor …
- 451
2 votes
2 answers
2k views
How important is the input data for a ML model?
Last 4-6 weeks, I have been learning and working for the first time on ML. Reading blogs, articles, documentations, etc. and practising. Have asked lot of questions here on Stack Overflow as well. W …
- 451
0 votes
3 answers
959 views
How do ML model retain/store the learning(s)?
In other words, if the model after training and testing is ready for making future predictions, it must be storing the learning(s) somewhere in memory or disk or cache (or I really don't know). So, …
- 451
0 votes
Is it possible to make a CS:GO Machine Learning AI?
My 2 cents - yes, it can be done definitely. Immediate example I can think of is playing chess against a machine. But I could be wrong. Let's wait for other experts to respond.
- 451
0 votes
2 answers
313 views
How to consume single piece of text for classification in a model?
Here's a high-level blueprint of my model - Input data:: CATEGORY SERVICE TITLE DEPARTMENT apple fruits i love eating fruits. fruitshop …
- 451
1 vote
1 answer
50 views
How to choose solution - Neural Neworks or Scikit-Learn/Numpy/Pandas?
I am trying to solve a problem - categorising and routing service desk emails to concerned teams for resolution. Created and tested a model using Scikit-Learn, Numpy and Pandas. - Tokenized the email …
- 451
0 votes
1 answer
67 views
Can this be a case of multi-class skewness?
I have been working on an email data set, and trying to predict the owner team for it. But my prediction accuracy is just 58%. I have implemented data cleansing, null value removals, duplicate removal …
- 451
0 votes
1 answer
256 views
Accessing Flask WS APIs over intranet -
I have 2 scripts - A.py and B.py, and both are Flask apps. A.py renders a web page and acts as my UI taking inputs from user. B.py is hold the main logic and has a web service API being called by A.py …
- 451
0 votes
3 answers
305 views
ML, Statistics and Mathematics
I have just started getting my hands wet in ML and every time I try delving deeper into the concepts/code, I face the challenges of the mathematics and its cryptic notations. Coming from a Computer Sc …
- 451
0 votes
1 answer
113 views
ML: How to think feature selection?
What is the basic philosophy behind feature selection and modelling? How do you actually start? Could you please share your real (practical) inputs? Bit of background: I am actually trying to analyse …
- 451
2 votes
1 answer
282 views
ML - Service Desk classification
I'm trying to explore an use-case in ML but stuck at a point. May i please request your advise please. Have a service desk web application for logging tickets, which is essentially a form having vari …
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