A simple introduction for those who always wanted to understand machine learning. Only real-world problems, practical solutions, simple language, and no high-level theorems. One and for everyone. Whether you are a programmer or a manager.
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Curated by Farid Mheir
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WHY IT MATTERS: Machine Learning is a subset of Artificial Intelligence that has received huge interest in recent years. This papers explains the algorithms behind the technology in order to explain how machine learning works and where it can be applied. All in relative simple terms.
For other introduction posts:
- https://fmcs.digital/blog/machine-learning-cheat-sheets-from-stanford-and-mit-are-also-being-translated-in-multiple-languages-on-github-geek-ai-machinelearning-great/
- https://fmcs.digital/blog/introduction-to-deep-learning-via-algorithmia-ai-deeplearning-reference/
- https://fmcs.digital/blog/suggested-reading-on-ai-to-understand-the-basics/
- https://fmcs.digital/blog/complete-chart-of-neuralnetwork-architectures-via-asimovinstitute/
- https://fmcs.digital/blog/deeplearning-for-complete-beginners-recognising-handwritten-digits-by-cambridge-coding-academy/