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Thirdware Inc is a leader in enterprise applications that has supported a range of Fortune 500 organizations as an implementation partner for infrastructure technologies such as enterprise resource planning, enterprise performance management, cloud services, and robotic process automation. Today, we are happy to announce our partnership with Thirdware Inc to accelerate enterprise adoption of Machine […]
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Our very first Machine Learning Summer School in The Netherlands (#DutchMLSchool) is taking place on July 8-11, 2019 in Breukelen, The Netherlands, in collaboration with Nyenrode Business University. Today, we have two important announcements regarding the program that is shaping up to be our strongest one yet. Firstly, we are very happy to share that […]
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Two weeks ago, I had the chance to conduct a workshop at The University of California, Berkeley’s Haas School of Business as part of Professor Gregory La Blanc’s Data Science and Strategy class for MBAs and business leaders. This meant showcasing a subset of the comprehensive Machine Learning capabilities of the BigML platform such as […]
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BigML and Nyenrode Business Universiteit are thrilled to announce the first edition of our Machine Learning Summer School in The Netherlands! The four-day event will take place at Nyenrode Business University, in Breukelen, and the program is designed to cater to different professional profiles and their needs: Machine Learning for Executives – July 8 (day […]
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I took this photo at the Valencian Summer School in Machine Learning 2018. That was my second Summer School, but my first one as a BigML intern. My internship had just started few days ago. Since I published this tweet last September things changed a lot, but let me provide a context for it. What […]
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In my previous two posts in this series, I’ve essentially argued both sides of the same issue. In the first, I explained why deep learning is not a panacea, when machine learning systems (now and likely always) will fail, and why deep learning in its current state is not immune to these failures. In the […]
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In the first in this series of posts, I discussed a bit about why deep learning isn’t fundamentally different from the rest of machine learning, and why that lack of a difference implies many contexts in which deep networks will fail to perform at a human level of cognition, for a variety of reasons. Is […]
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Gary Marcus has emerged as one of deep learning’s chief skeptics. In a recent interview, and a slightly less recent medium post, he discusses his feud with deep learning pioneer Yann LeCun and some of his views on how deep learning is overhyped. I find the whole thing entertaining, but at many times LeCun and […]
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BigML has added multiple linear regression to its suite of supervised learning methods. In this sixth and final blog post of our series, we will give a rundown of the technical details for this method. Model Definition Given a numeric objective field , we model its response as a linear combination of our inputs , […]
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This blog post, the fifth of our series of six posts about Linear regressions, focuses on those users that want to automate their Machine Learning workflows using programming languages. If you follow the BigML blog, you may already be familiar with WhizzML, BigML’s domain-specific language for automating Machine Learning workflows, implementing high-level Machine Learning algorithms, […]
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