The anatomy of a vanilla JavaScript plugin | Go Make Things
https://gomakethings.com/the-anatomy-of-a-vanilla-javascript-plugin/
https://gomakethings.com/the-anatomy-of-a-vanilla-javascript-plugin/
Gomakethings
The anatomy of a vanilla JavaScript plugin
For those of you who are in the process of ditching jQuery, I thought it might be helpful to talk through how I structure my native JavaScript plugins.
Building Your Own JavaScript Modal Plugin ― Scotch.io
https://scotch.io/tutorials/building-your-own-javascript-modal-plugin
https://scotch.io/tutorials/building-your-own-javascript-modal-plugin
Scotch
Building Your Own JavaScript Modal Plugin
When starting a new project, there are two staple Javascript UI components that you will likely require. The first being a carousel, which I've already taken care of, and the second being a modal. Today we are going to build out a flexible CSS3 moda
Kaggle Faker News Classifier Using LSTM- Deep LEarning| Natural ...
https://www.youtube.com/watch?v=MXPh_lMRwAI
https://www.youtube.com/watch?v=MXPh_lMRwAI
YouTube
Kaggle Faker News Classifier Using LSTM- Deep LEarning| Natural Language Processing
Learn an easy and accurate method relying on word embeddings with LSTMs that allows you to do state of the art sentiment analysis with deep
github: https://github.com/krishnaik06/Fake-New-LSTM
WordEmbedding Videos: https://www.youtube.com/watch?v=TsXR7_…
github: https://github.com/krishnaik06/Fake-New-LSTM
WordEmbedding Videos: https://www.youtube.com/watch?v=TsXR7_…
Forwarded from Age Of Geeks
YouTube playlist for Data Science and AI, that you must check:
https://www.linkedin.com/pulse/top-youtube-playlist-data-science-ai-you-must-check-mamdapure
https://www.linkedin.com/pulse/top-youtube-playlist-data-science-ai-you-must-check-mamdapure
Linkedin
Top YouTube playlist for Data Science and AI that you must check
Being into the machine learning and data science field for about two years now, I have realized that a lot of students fall victim to the belief that buying-in to expensive certifications is necessary for bagging a good job in the data science sector. Nothing…
Forwarded from Age Of Geeks
Forwarded from Age Of Geeks
Resources discussed during our LIVE Session on Instagram today:
Book: Artificial Intelligence - a modern approach.
PDF (older edition): https://www.cin.ufpe.br/~tfl2/artificial-intelligence-modern-approach.9780131038059.25368.pdf
Amazon link to the newest edition: http://amzn.to/2Xi19YL
Courses:
Andrew Ng's course: https://www.coursera.org/learn/machine-learning
IBM's course: https://www.coursera.org/professional-certificates/ibm-data-science
Connect with Nidhi, our guest on the live session on: https://www.linkedin.com/in/nidhithakkar55
Connect with Priyanka, MLI's founder on: https://www.linkedin.com/in/priyanka-kasture-7aaaab75
Follow MLI on LinkedIn: https://www.linkedin.com/company/mlindia/
Follow us on Instagram to stay updated about more of our LIVE sessions: instagram.com/ml.india/
Happy machine learning! 😃
Book: Artificial Intelligence - a modern approach.
PDF (older edition): https://www.cin.ufpe.br/~tfl2/artificial-intelligence-modern-approach.9780131038059.25368.pdf
Amazon link to the newest edition: http://amzn.to/2Xi19YL
Courses:
Andrew Ng's course: https://www.coursera.org/learn/machine-learning
IBM's course: https://www.coursera.org/professional-certificates/ibm-data-science
Connect with Nidhi, our guest on the live session on: https://www.linkedin.com/in/nidhithakkar55
Connect with Priyanka, MLI's founder on: https://www.linkedin.com/in/priyanka-kasture-7aaaab75
Follow MLI on LinkedIn: https://www.linkedin.com/company/mlindia/
Follow us on Instagram to stay updated about more of our LIVE sessions: instagram.com/ml.india/
Happy machine learning! 😃
Forwarded from Age Of Geeks
Curious how you can convert already trained traditional ML models into tensor computations with up to 100x speedup?
Check out this blog post from Microsoft for details: https://azuredata.microsoft.com/articles/ebd95ec0-1eae-44a3-90f5-c11f5c916d15
Source code: https://github.com/microsoft/hummingbird
Check out this blog post from Microsoft for details: https://azuredata.microsoft.com/articles/ebd95ec0-1eae-44a3-90f5-c11f5c916d15
Source code: https://github.com/microsoft/hummingbird
GitHub
GitHub - microsoft/hummingbird: Hummingbird compiles trained ML models into tensor computation for faster inference.
Hummingbird compiles trained ML models into tensor computation for faster inference. - microsoft/hummingbird
Forwarded from Age Of Geeks
ScienceDaily
New tool automatically turns math into pictures
Some people look at an equation and see a bunch of numbers and symbols; others see beauty. Thanks to a new tool, anyone can now translate the abstractions of mathematics into beautiful and instructive illustrations. The tool enables users to create diagrams…
Forwarded from Machine Learning
Learn AI/NLP and Machine Learning needed and deploy your own AI based Intelligent Chatbot.
Also learn how to earn cash after learning to build your own chatbot.
Kickstart your chatbot journey with our 6 Days Workshop starting from 12th June.
Participants will also get an AI Chatbot Cheetsheet and all the recorded sessions in free from theMAD.
The revolution of bots taking shape!
Are you part of this revolution?
Enroll now in just Rs 16 per day.
🔗 Link for enroll is here...
https://allevents.in/online/80002220391294
Other details on the above link 👆
Also learn how to earn cash after learning to build your own chatbot.
Kickstart your chatbot journey with our 6 Days Workshop starting from 12th June.
Participants will also get an AI Chatbot Cheetsheet and all the recorded sessions in free from theMAD.
The revolution of bots taking shape!
Are you part of this revolution?
Enroll now in just Rs 16 per day.
🔗 Link for enroll is here...
https://allevents.in/online/80002220391294
Other details on the above link 👆
AllEvents.in
Build A.I. ChatBot In 6 Days Workshop | Batch 4
Find event details and tickets information for Build A.I. ChatBot In 6 Days Workshop | Batch 4 Hosted By the MAD. Event starts at Tue Oct 13 2020 at 06:00 pm and happening at Online.
Forwarded from Machine Learning
Link : http://t.me/wethemadians
Forwarded from Machine Learning
CREME – python library for online ML
All the tools in the library can be updated with a single observation at a time, and can therefore be used to learn from streaming data.
The model learns from one observation at a time, and can therefore be updated on the fly. This allows to learn from massive datasets that don't fit in main memory. Online machine learning also integrates nicely in cases where new data is constantly arriving. It shines in many use cases, such as time series forecasting, spam filtering, recommender systems, CTR prediction, and IoT applications. If you're bored with retraining models and want to instead build dynamic models, then online machine learning might be what you're looking for.
Here are some benefits of using creme (and online machine learning in general):
• incremental – models can update themselves in real-time
• adaptive – models can adapt to concept drift
• production-ready – working with data streams makes it simple to replicate production scenarios during model development
• efficient – models don't have to be retrained and require little compute power, which lowers their carbon footprint
api reference: https://creme-ml.github.io/content/api.html
github: https://github.com/creme-ml/creme
All the tools in the library can be updated with a single observation at a time, and can therefore be used to learn from streaming data.
The model learns from one observation at a time, and can therefore be updated on the fly. This allows to learn from massive datasets that don't fit in main memory. Online machine learning also integrates nicely in cases where new data is constantly arriving. It shines in many use cases, such as time series forecasting, spam filtering, recommender systems, CTR prediction, and IoT applications. If you're bored with retraining models and want to instead build dynamic models, then online machine learning might be what you're looking for.
Here are some benefits of using creme (and online machine learning in general):
• incremental – models can update themselves in real-time
• adaptive – models can adapt to concept drift
• production-ready – working with data streams makes it simple to replicate production scenarios during model development
• efficient – models don't have to be retrained and require little compute power, which lowers their carbon footprint
api reference: https://creme-ml.github.io/content/api.html
github: https://github.com/creme-ml/creme
GitHub
GitHub - online-ml/river: 🌊 Online machine learning in Python
🌊 Online machine learning in Python. Contribute to online-ml/river development by creating an account on GitHub.
Forwarded from Age Of Geeks
Tech Xplore
Artificial intelligence makes blurry faces look more than 60 times sharper
Duke University researchers have developed an AI tool that can turn blurry, unrecognizable pictures of people's faces into eerily convincing computer-generated portraits, in finer detail than ever before.
Forwarded from Age Of Geeks
Fossbytes
Facebook ‘TransCoder AI’ Converts Code Between Java, Python & C++
Facebook researchers have also developed a 'neural transcompiler' dubbed TransCoder AI. It is a system that can convert code between high-level languages such as Java, Python, and C++. But it can convert source code from a high-level programming language…
Forwarded from Age Of Geeks
What Is Data Preparation in a Machine Learning Project
https://machinelearningmastery.com/what-is-data-preparation-in-machine-learning/
https://machinelearningmastery.com/what-is-data-preparation-in-machine-learning/
Forwarded from Age Of Geeks
PULSE - Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models.
Research Paper: https://drive.google.com/file/d/1fV7FsmunjDuRrsn4KYf2Efwp0FNBtcR4/view
Code: https://github.com/adamian98/pulse
Other articles and sites:
https://techxplore.com/news/2020-06-artificial-intelligence-blurry-sharper.html
http://pulse.cs.duke.edu/
https://zentralwerkstatt.org/post_PULSE.html
https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431
Research Paper: https://drive.google.com/file/d/1fV7FsmunjDuRrsn4KYf2Efwp0FNBtcR4/view
Code: https://github.com/adamian98/pulse
Other articles and sites:
https://techxplore.com/news/2020-06-artificial-intelligence-blurry-sharper.html
http://pulse.cs.duke.edu/
https://zentralwerkstatt.org/post_PULSE.html
https://towardsdatascience.com/explained-a-style-based-generator-architecture-for-gans-generating-and-tuning-realistic-6cb2be0f431