closes #3. thanks, Vedang!

README.md

@@ -26,4 +26,6 @@ As usual, **pull requests are encouraged**. I'll be updating this regularly but
 * [How Eventual is Eventual Consistency?](https://vimeo.com/37758648) (**Peter Bailis, Basho Chats**)  Great example of how to take an abstract concept and turn it into a practical talk with concrete findings and advice. Peter's also a high-caliber speaker.
 * [Metrics, Metrics Everywhere](http://pivotallabs.com/talks/139-metrics-metrics-everywhere) (**Coda Hale, Pivotal Labs Tech Talks**) Make better decisions by using numbers. (contributed by [@michaelfairley](https://twitter.com/#!/michaelfairley))
 * [Persistent Data Structures and Managed References](http://www.infoq.com/presentations/Value-Identity-State-Rich-Hickey) (**Rich Hickey**) Describes Clojure's approach to state, identity and concurrency. (contributed by [@michaelklishin](https://twitter.com/#!/michaelklishin))
-* [The DCI Architecture: Lean and Agile at the Code Level](http://www.infoq.com/presentations/The-DCI-Architecture) (**Jim Coplien**) Thought provoking insight into how modern "class oriented" programming is different from intents behind origins of OOP. (Contributed by [Serge Balyuk](https://github.com/bgipsy))
+* [The DCI Architecture: Lean and Agile at the Code Level](http://www.infoq.com/presentations/The-DCI-Architecture) (**Jim Coplien**) Thought provoking insight into how modern "class oriented" programming is different from intents behind origins of OOP. (contributed by [Serge Balyuk](https://github.com/bgipsy))
+* [Machine Learning: A Love Story](http://www.infoq.com/presentations/Machine-Learning) (**Hilary Mason**) A history of Machine Learning, covering major milestones over the last two decades. (contributed by [@vedang](http://twitter.com/vedang))
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