Thoughtful Machine Learning

What Hacker News says

1. mindcrimeOct 2017
   What? No. Why in the world do people even ask this kind of question. To a first approximation, the answer to "is it too late to get started with ..." question is always "no".

   If no, what are the great resources for starters?

   The videos / slides / assignments from here:

   http://ai.berkeley.edu/home.html

   This class:

   https://www.coursera.org/learn/machine-learning

   This class:

   https://www.udacity.com/course/intro-to-machine-learning--ud...

   This book:

   https://www.amazon.com/Artificial-Intelligence-Modern-Approa...

   This book:

   https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-T...

   This book:

   https://www.amazon.com/Introduction-Machine-Learning-Python-...

   These books:

   http://greenteapress.com/thinkstats/thinkstats.pdf

   http://www.greenteapress.com/thinkbayes/thinkbayes.pdf

   This book:

   https://www.amazon.com/Machine-Learning-Hackers-Studies-Algo...

   This book:

   https://www.amazon.com/Thoughtful-Machine-Learning-Test-Driv...

   These subreddits:

   http://artificial.reddit.com

   http://machinelearning.reddit.com

   http://semanticweb.reddit.com

   These journals:

   http://www.jmlr.org

   http://www.jair.org

   This site:

   http://arxiv.org/corr/home/

   Any tips before I get this journey going?

   Depending on your maths background, you may need to refresh some math skills, or learn some new ones. The basic maths you need includes calculus (including multi-variable calc / partial derivatives), probability / statistics, and linear algebra. For a much deeper discussion of this topic, see this recent HN thread:

   https://news.ycombinator.com/item?id=15116379

   Luckily there are tons of free resources available online for learning various maths topics. Khan Academy isn't a bad place to start if you need that. There are also tons of good videos on Youtube from Gilbert Strang, Professor Leonard, 3blue1brown, etc.

   Also, check out Kaggle.com. Doing Kaggle contests can be a good way to get your feet wet.

   And the various Wikipedia pages on AI/ML topics can be pretty useful as well.

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2. iron0012Jun 2018
   Thoughtful Machine Learning by Matthew Kirk is the closest thing I've seen. It's several years old by now (2014). That said, I don't see many people trying to use this approach in practice.
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