Suff Syed
8 min readNov 14, 2016

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Hey there,

If you’ve clicked on this post then you’re probably deciding on learning Machine Learning. If you haven’t already decided, or are still feeling confused, I want to tell you in advance it’s going to be daunting.

Those of you who do end up taking the leap of faith will probably get more out of this journey than anyone else. It will not only open your mind to a whole new way of thinking, it will show you a world of possibilities and what you could do to apply this learning to your world for the better in more creative ways.

The problem of beginning with Machine Learning right now is there are decades of research and multiple entry points one could start from. It’s a bit like Thomas Edisons 1000 failed attempts to invent the light bulb (or finding 999 ways not to make one). AI has gone through decades of failed attempts (AI Winters), but only now has it really propelled forward. So do you start at the 1st attempt, the 79th attempt, or the 999th attempt? Lucky for you, we can get straight to the point where everything is working (or at least seems to be working… for now).

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