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Resources

1. Create Account on

World's largest code sharing platform.

Machine learning competition platform to solve real world problems, where you can earn while learn.

Stock market prediction platform based on crowd-sourced hedge fund, where you can earn while learn.

Google Colab is a free cloud service and now it supports free GPU! You can: improve your Python programming language coding skills and develop deep learning applications using popular libraries such as Keras, TensorFlow, PyTorch, and OpenCV.

Heroku is a platform as a service (PaaS) that enables developers to build, run, and operate applications entirely in the cloud. You can deploy your machine learning or deep learning application.

InnoCentive is an open innovation and crowdsourcing company, similar to Kaggle.

Freelancer is a global crowdsourcing marketplace website, which allows potential employers to post jobs that freelancers can then bid to complete.

 

2. Try & Explore

Collection of Interactive Machine Learning Examples

AI Experiments is a showcase for simple experiments that make it easier for anyone to start exploring machine learning, through pictures, drawings, language, music, and more

Visualize the working of Neural Network.

Introduction to Machine Learning from Google.

Learn a machine using your camera, live in the browser - no coding required.

 

3. Watch

 

4. Machine Learning / Deep Learning Projects

 

 

5. One Page Writing (List of research papers - Good for Literature Survey & Projects)

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6. Miscellaneous

 

7. Most Important Resource (Must Explore)

 

8. Explore Hackthons

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