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Is Javascript Good For Machine Learning?
Can I do Machine Learning with JavaScript?
The short answer is yes.
I did some research here are the findings
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#100DaysOfCode #javascript #CodeNewbies
Can I do Machine Learning with JavaScript?
The short answer is yes.
I did some research here are the findings
Thread
#100DaysOfCode #javascript #CodeNewbies
Few things that are said about JavaScript when it comes to Machine Learning.
- Javascript is slow.
- Handling Matrices is difficult with JavaScript.
- Python got all the major libraries.
- Javascript is slow.
- Handling Matrices is difficult with JavaScript.
- Python got all the major libraries.
Python got all the major libraries https://abs.twimg.com/emoji/v2/... draggable="false" alt="👇" title="Rückhand Zeigefinger nach unten" aria-label="Emoji: Rückhand Zeigefinger nach unten">
Yes. all the important libraries for M.L. in which much of the study and research has been done, are made in Python.
For e.g.https://abs.twimg.com/emoji/v2/... draggable="false" alt="👉" title="Rückhand Zeigefinger nach rechts" aria-label="Emoji: Rückhand Zeigefinger nach rechts"> TensorFlow and scikit-learn.
Yes. all the important libraries for M.L. in which much of the study and research has been done, are made in Python.
For e.g.
But that doesn& #39;t let you find good options like https://abs.twimg.com/emoji/v2/... draggable="false" alt="👇" title="Rückhand Zeigefinger nach unten" aria-label="Emoji: Rückhand Zeigefinger nach unten">
- brain.js for neural networks.
- Natural for natural language processing.
- TensorflowJs for model training
- Webdnn for deep learning.
- brain.js for neural networks.
- Natural for natural language processing.
- TensorflowJs for model training
- Webdnn for deep learning.
What is possible with Machine Learning and JavaScript?
Many developers are moving from handling ML on back-end servers to front-end applications.
TensorFlow.js, teams can now create and run ML models in static HTML documents without ever setting up a server or even database.
Many developers are moving from handling ML on back-end servers to front-end applications.
TensorFlow.js, teams can now create and run ML models in static HTML documents without ever setting up a server or even database.
1. Automatic Picture Manipulation:
Auto-adjust images based on a predefined rule-set using a browser-based application — even generate art using convolutional neural networks, as Google has done.
Auto-adjust images based on a predefined rule-set using a browser-based application — even generate art using convolutional neural networks, as Google has done.
2. Offline Game Opponents:
Play against an AI-operated adversary, even when a video game is offline.
3. Activity Monitoring:
Install a client-side application that learns usage patterns on a local network or device — to monitor and flag unusual activity.
Play against an AI-operated adversary, even when a video game is offline.
3. Activity Monitoring:
Install a client-side application that learns usage patterns on a local network or device — to monitor and flag unusual activity.
4. Content Recommendation Engine:
Build and train an ML algorithm in the browser, identifying what users like to look at and surfacing more relevant content — just as Twitter has done to rank tweets.
Build and train an ML algorithm in the browser, identifying what users like to look at and surfacing more relevant content — just as Twitter has done to rank tweets.
5. Object Detection:
Use a client-side application to detect documents or objects in pictures — such as Airbnb uses to alert users to the presence of sensitive information when they upload a passport or driving license photo.
JavaScript for ML will grow in futurehttps://abs.twimg.com/emoji/v2/... draggable="false" alt="🙏" title="Folded hands" aria-label="Emoji: Folded hands">
Use a client-side application to detect documents or objects in pictures — such as Airbnb uses to alert users to the presence of sensitive information when they upload a passport or driving license photo.
JavaScript for ML will grow in future
