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Gradient Ascent #10 - by Albert Azout - Gradient Ascent

albertazout.substack.com · 716 words · saved by 1 readers

Welcome to the 10th edition of Gradient Ascent. I’m Albert Azout, a prior entrepreneur and current investor. On a regular basis I encounter interesting scientific research, startups tackling important and difficult problems, and technologies that wow me. I am curious and passionate about machine learning, advanced computing, distributed systems, and dev/data/ml-ops. In this newsletter, I aim to share what I see, what it means, and why it’s important. I hope you enjoy my ramblings! Send me a note Find me on LinkedIn, Angelist, Twitter Hi everyone! I’m back… Deep in the bowels of academic research, there is a resurgence of interest in machine learning on graphs, and specifically knowledge graphs. I have spent a several days surveying the latest work (and many years following the topic). A snapshot of my recent taxonomic journey is below: A majority of the natural data generated in the world can be represented as a graph. Several varieties of graphs exist, including simple undirected grap

Welcome to the 10th edition of Gradient Ascent. I’m Albert Azout, a prior entrepreneur and current investor. On a regular basis I encounter interesting scientific research, startups tackling important and difficult problems, and technologies that wow me. I am curious and passionate about machine learning, advanced computing, distributed systems, and dev/data/ml-ops. In this newsletter, I aim to share what I see, what it means, and why it’s important. I hope you enjoy my ramblings! Is there a founder I should meet? Send me a note Want to connect? Find me on LinkedIn, Angelist, Twitter Hi…

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