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I wonder to what degree he means. Because if he means "really" learning it, this is akind to the "learn to program in a week" books. It takes much more than thr

• diminoten 10y ago
  You could join the top 5% of knowers about machine learning in 3 years, I bet. I doubt you'd innovate, but you could at least master the state of the art within 3 years.
• fixermark 10y ago
  I think his target audience was investors and company owners, so "Learn ML" in this context really means "Get savvy about the market and hire the people you need for your org to have some knowledge of the topic." Perhaps a good time to be an ML grad coming fresh out of college.
• vidarh 10y ago
  Here's my suggestion to people worried about this: Learn about how to use bayesian models and clustering methods, and how to recognise where they may be applicable, and you will already be able to produce things that will astound executives out there, and deliver very real value for your employer / customers, and those methods are simple - you don't even need to understand the maths to be able to make use of them, though it helps. By all means, start learning actual machine learning methods too, rather than just statistical methods, but as I pointed out elsewhere on this thread: there is low hanging fruit everywhere. Not nearly all of those will need "proper" machine learning, and even fewer will be willing to pay what it will cost to hire people with in-depth machine learning experience or pay the development costs or computational costs anytime soon. But a lot of them will buy into the buzzwords and look for a cheaper halfway-house or be open to pitches.