Why are there so many Machine Learning paid certifications?
I often wonder when I see people completing certificates on ML, are these more for showing the world that you know and understand ML or is it really a sense of achieving something! If it is the latter then why pay ? and why need a certificate at all?
Let me elaborate on the resources that are free and can do a better job than most paid ML courses:
- Googles free website to choose videos, docs,tutorials, courses , sample code and Interactive demos - https://ai.google/education/#?modal_active=none
- Have you read this? Triskelion one of the leaders on Kaggle explains how he went from a beginner and finished up as a master with a top 10 finish - https://mlwave.com/reflecting-back-on-one-year-of-kaggle-contests/ or https://machinelearningmastery.com/master-kaggle-by-competing-consistently/
- Kaggles Learning modules that are amazing
- Machine Learning - https://www.kaggle.com/learn/machine-learning
- R - https://www.kaggle.com/learn/r
- Data Visualization - https://www.kaggle.com/learn/data-visualisation
- Deep Learning - https://www.kaggle.com/learn/deep-learning
- SQL - https://www.kaggle.com/learn/sql
- GitHub Awesome Machine Learning - https://github.com/josephmisiti/awesome-machine-learning
- Track GitHub trending repositories in your favorite programming language by native GitHub notifications! - https://github.com/vitalets/github-trending-repos
- Top-down learning path: Machine Learning for Software Engineers - https://github.com/AdyKalra/machine-learning-for-software-engineers
- Finally the mindmap! - https://github.com/dformoso/machine-learning-mindmap
And there are all the competitions on Kaggle that can boost your practical knowledge that no certificate can! I am sure there are many more , would love to hear from others what are the other resources that you have seen.
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