Machine Learning @ Berkeley

@BerkeleyML

Student-run org @ UC Berkeley working on industry ML consulting, academic research, ML education, and fostering a vibrant ML community on campus and beyond

Berkeley, CA
Vrijeme pridruživanja: prosinac 2016.

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  1. Congratulations to , Murtaza Dalal, Alex Li!💕 NeurIPS'19 bound!!

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  2. That's a wrap on ! We're so excited to have had some of our members present their research on Synthetic Datasets for Neural Program Synthesis in collaboration with

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    Excited to announce our competition: The MineRL Competition for Sample-Efficient Reinforcement Learning! With and others! Participate here!

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  4. np.argmax(missed_class)... ML@B members coming out to see our very own professors and other big names in the AI robotics space speak Sessions: Robotics + AI

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  5. "2 & 1/2 people lose their lives on the world's roadways every minute... It behooves us to move quickly, but we have to do so safely." We can't afford to set the industry back - 's on the race to level 5 autonomy with 's Raquel Urtasun

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  6. "Scandal sells... We have seen the enemy and it is us." 's Alexei Efros and 's Hany Farid discuss fake news and how increasingly indistinguishable AI generated media must change how we consume and verify content.

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  7. From Alexa to self driving cars, intelligent robots "will shape our behavior regardless of whether we plan on it or not." - 's . Forming safe assumptions of human behavior while mitigating data bias key to fruitful

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  8. Machine Learning @ Berkeley is at TechCrunch Sessions Robotics+AI ! Looking forward to insightful discussions led by entrepreneurs and investors and 's own Professors Alexei Efros and . Follow us for live updates!

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    5. tra 2019.

    this really represents one of my favorite things from my time at Berkeley. having the opportunity to organize talks like this for an audience who would not be able to get this otherwise, its things like this that really have an impact on the next gen :)

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    5. tra 2019.

    it was awesome to have come talk to ML@B early this week on his reach on Open Endedness! One of my favorite talks we’ve had this semester by far.

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    Do you include engineers who built software for and were instrumental in your papers as coauthors? Why or why not?

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    There are no words for how small this makes you feel; go take a look Just pause for a moment and realize you’re one probability zero sample from a distribution.

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    11. pro 2018.

    What a great experience stepping back and thinking about the implications of AI and how it’ll affect the next generation. Huge thank you to and for making this project possible!

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    7. pro 2018.

    Super excited to present our work done at during !!

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  15. enjoying a reunion of old and new ml@b faces at !

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  16. Check out this article by and Noah on generating images with PixelRNNs using Tensorflow

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    17. srp 2017.

    Nice tutorial on over-/underfitting a model. Including the flawed regression that led to Fukushima disaster.

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  18. Our fourth tutorial blog is out! This time we are exploring Bias-Variance Dilemma. Check it out!

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    "A nerdy man is reading an introduction to image captioning with neural nets" <-- New tutorial!

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    New blog post from OpenAI on "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" w00t!!

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