acs
commented
6 years ago Some references about learning ML:
- https://www.kdnuggets.com/2015/10/learning-machine-learning-quora.html
- https://medium.freecodecamp.org/every-single-machine-learning-course-on-the-internet-ranked-by-your-reviews-3c4a7b8026c0
and before deciding the tech adoption:
Infographic for Python, Scala and R technologies Top 20 libs for Python
A pretty interesting site based on ML for providing contents:
And once the moment arrives to learn the basic algorithms for ML: https://www.quora.com/What-are-the-top-10-data-mining-or-machine-learning-algorithms/answer/Xavier-Amatriain
In this use case I plan to use the perceval twitter backend to collect data from Twitter and then use machine learning algorithms to show interesting facts. The idea is to use Python for the development. There are a lot of work around this use case, so the first step is the state of the art analysis.
For example:
https://www.quora.com/What-are-some-real-world-applications-of-applying-Machine-Learning-Algorithms-to-Twitter-Data-Set-I-have-tried-Recommendation-Algorithm-and-I-want-to-know-more-so-that-it-gives-me-more-practical-exposure-to-Applied-Machine-Learning