I founded Crowdbotics & LeadGenius. ML, social enterprise, crowd computing, polytopes, startups. Sometime Berkeley PhD + YC alum.
Berkeley, California
Joined September 2009
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Tensorflow.js came out last week, which lets you run existing models and train new models directly in-browser. Expect to see a lot more impressive NN experiences cropping up on the web. medium.com/tensorflow/introd…
D3 version 5.0 is out, from @mbostock (and others). Still one of my favorite visualization frameworks and among the most popular at @Crowdbotics. github.com/d3/d3/blob/master…
Had a great time speaking at @googleorg last night about @Crowdbotics and our work hiring + deploying top (female) software engineers from @Laboratoriala.
anand kulkarni 🇺🇸 retweeted
This past year, Nabila Hassan used her earnings as a LeadGenius researcher to build a borehole well in her home village of Bomani, #Kenya that provides more than 500 families with safe drinking water. hubs.ly/H09zlGf0
Learned approaches for common datab structures outperform standard, non-ML ones. Neat and practical result. nitter.gq/chrmanning/status/9402…
Machine Learning just ate Algorithms in one large bite, thx to @tim_kraska, @alexbeutel, @edchi, @JeffDean & Polyzotis at @Google—faster, smaller trees, hashes, bloom filters arxiv-vanity.com/papers/1712…
In particular, this implies that for these applications, it's the structure of the neural network that's essential – not the training data. The solution is found by searching through the parameter space of the network, starting with a random point, not image space.
This deep learning result is phenomenal (and totally surprising). The authors show convolutional neural nets can achieve amazing visual results *without* training data: dmitryulyanov.github.io/deep…
Four questions to answer about marketplace startups: medium.com/@jgolden/four-que…
Tensorflow Lite is out. It can execute trained neural nets efficiently on mobile devices: developers.googleblog.com/20…
FB is estimated to have grown revenue 11% per week (close to YC's 10% recommendation) between its seed and Series A. Those round sizes & valuations look proportional to revenue growth. (source: quora.com/What-were-Facebook…)
Founders sometimes point to Facebook's early success and conclude they should ignore revenue. This is inaccurate. FB's revenues grew exponentially from year one: a $300K run rate in its first year/seed round, a $6M run rate at Series A, and a $52M run rate at Series B.
This software can read new deep-learning papers, analyze the figures, and then automatically attempt to build a neural net following the approach of the paper. Nice idea. Still rough, but could be a useful approach to a self-improving software system. nitter.gq/Deep_Hub/status/930058…
Important explanation of how software 2.0, instantiated as deep neural nets, is fundamentally different from previous models of software development: medium.com/@karpathy/softwar…
v-img allows you to show images in full-screen only by adding one directive to the <img> tag by @fahrenq 🙌 - madewithvuejs.com/v-img
Google's Tangent lets you differentiate functions written in Python, and gives you results in Python. Useful for those of us who spend a lot of time with NNs. github.com/google/tangent
In Japan, the Family Romance corporation provides (for years) purported fathers, brides, even deceased relatives. theatlantic.com/health/archi…
The NYT discusses efforts to teach ML systems to figure out parameters & topologies currently being tuned by hand by ML practicioners: nytimes.com/2017/11/05/techn…
Excellent article on of the state of the art in feature visualization.
distill.pub/2017/feature-vis…
Collaborative Jupyter-based notebooks for machine learning. nitter.gq/medialab/status/927221…
Google’s Colaboratory is a free, collaborative data analysis and development tool mitsha.re/sUHR30gm0aq