Chief Scientist

R&D tales from the Silicon Valley

Anthony Goldbloom keynotes Data By the Bay

Q. At MLConf, Ben said that MNIST is the longest-running Kaggle-like competition, a comparison I love.Q. At MLConf, Ben said that MNIST is the longest-running Kaggle-like competition, a comparison I love. How do you see Kaggle advancing the field of Machine Learning in industry? ¶ Kaggle is a great way to evangelize new techniques. Geoff Hinton and his grad students won a bunch of competitions in 2012, which helped spread deep neural networks in our community and beyond. Steffen Rendle did the same with factorization machines.

Alexy KhrabrovMar 25

Omar Alonso on speaking at Data By the Bay

Omar Alonso is speaking at Data By the Bay ¶ Omar Alonso is a Principal Data Scientist at Microsoft.Omar Alonso is speaking at Data By the Bay ¶ Omar Alonso is a Principal Data Scientist at Microsoft. He is the author of papers on Information Retrieval and was a speaker to the original Text By the Bay in 2015 — see his talk from the last year, rated very highly, and expect this year to build on it. Label quality is key for Machine Learning workflows, and Omar has extensive experience building processes to ensure data quality, on whihc everything else in the data pipeline hinges.

Alexy KhrabrovFeb 26

5 Reasons to Attend Data By the Bay 2016

Data By the Bay is the first Data Grid conference matrix: 6 verticals and Data Pipeline horizontals over 5 days.Data By the Bay is the first Data Grid conference matrix: 6 verticals and Data Pipeline horizontals over 5 days. Verticals are application areas, and horizontals are data platforms and algorithms. Lots of Kafka, Spark, Deep Learning, *2vec in horizontals. ¶ Global leaders and best Bay Area startups in data: Google, Facebook, Twitter, Amazon, Microsoft, IBM, LinkedIn, Salesforce, Zillow, Workday, Nitro, Kaggle, CrowdFlower, Dato, H2O.ai,

Alexy KhrabrovFeb 23

Twenty Decisions a Day

Every day we make many decisions. The actual number is hard to estimate since decisions are hard to compare. An academic paper estimates we…make about 200–250 food related decisions a day alone. At least food decisions are comparable. But how do you compare a choice of a dessert to, say a decision on what to do after lunch, whom to interview, what programming language to use for your startup, and so forth? ¶ We can roughly estimate the number of decisions we are making daily as follows. Let’s say you wake up at seven, go to bed at midnight, and make a decision every minute in between.

Alexy KhrabrovFeb 7

Alexy KhrabrovJan 213 min read

A New Kind of Data Conference

There are excellent data-centric conferences held regularly around the world, and in the Bay Area, the capital of Big Data. While software engineering is blossoming around the US and the world, Big Data innovation still emanates from the Bay Area, and all things data with it…

Alexy KhrabrovJan 122 min read

Public Knowledge Graph

In multiple SF Text meetups and Text By the Bay presentations, modern NLP reveals itself as a means to extract actionable knowledge from the world’s Internet data and user data in a specific context, derive human intent, and follow up on it. This used to be called AI. Machine Learning (ML…

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