How to Create a Dataset for Machine Learning

The entry barrier to the world of algorithms is getting lower by the day. That means anybody with the right goal and skills can find out great algorithms for Machine Learning (ML) and Artificial Intelligence (AI) tasks - computer vision, natural language processing, recommendation systems, or even autonomous driving. Open-source computing has come a long way and plenty of open-source initiatives are propelling the vehicles of data science, digital analytics, and ML. Researchers around the universities and corporate R&D labs are creating new algorithms and ML techniques every day. We can safely say that algorithms, programming frameworks, ML packages, and even tutorials and courses on how to learn these techniques are no longer scarce resources.