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searching PlanetScale…
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9 ms
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61.
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Logistic Regressions: The 6 Steps to Predictions
(blog.bigml.com)
9 points
by
aficionado
10y ago
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0 comments
62.
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BigML for Alexa
(bigml.com)
3 points
by
aficionado
10y ago
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0 comments
63.
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Why an AI-Judged Beauty Contest Picked Nearly All White Winners
(motherboard.vice.com)
3 points
by
aficionado
10y ago
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0 comments
64.
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The Ghost Olympic Event: Machine Learning Startup Acquisition
(blog.bigml.com)
1 points
by
aficionado
10y ago
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0 comments
65.
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Scriptify: 1-Click Reification of Complex Machine Learning Workflows
(blog.bigml.com)
1 points
by
aficionado
10y ago
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0 comments
66.
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Feature Selection is not only for Programmers
(blog.bigml.com)
1 points
by
aficionado
10y ago
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0 comments
67.
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by
aficionado
10y ago
The solution is easy and it applies to most sciences: all research articles should include a pointer to download the dataset that was used and an annex with the details on how it was collected.
68.
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How to Put Machine Learning in Your Machine Learning
(blog.bigml.com)
2 points
by
aficionado
10y ago
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1 comments
69.
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WhizzML: Level Up with Gradient Boosting
(blog.bigml.com)
2 points
by
aficionado
10y ago
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0 comments
70.
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Finding the Oddballs
(youtube.com)
1 points
by
aficionado
10y ago
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0 comments
71.
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Automatically Estimate the Best K for K-Means Clustering
(blog.bigml.com)
1 points
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aficionado
10y ago
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0 comments
72.
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aficionado
10y ago
Basically this video ignores the history of machine learning in general. Jumping from Expert Systems to Neural Networks and Deep Learning is actually ignoring 36 years (and billions of dollars) of research http://machinelearning.
73.
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Machine Learning in Objective-C Has Never Been Easier
(blog.bigml.com)
2 points
by
aficionado
10y ago
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0 comments
74.
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Google's New Custom Chip May Not Live Up to the Hype
(technewsworld.com)
2 points
by
aficionado
10y ago
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0 comments
75.
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Automating Machine Learning Workflows
(blog.bigml.com)
1 points
by
aficionado
10y ago
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0 comments
76.
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AI chooses the best AI startup
(blog.preseries.com)
1 points
by
aficionado
11y ago
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0 comments
77.
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Datasets Over Algorithms
(edge.org)
4 points
by
aficionado
11y ago
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1 comments
78.
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A Cancer ‘Moonshot’ Needs Big Data
(wsj.com)
49 points
by
aficionado
11y ago
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54 comments
79.
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by
aficionado
11y ago
Don't think so. The data and how it's represented is the code. ML is the compiler.
80.
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by
aficionado
11y ago
How many elevators were failing today? how many were fixed today? and how many have been monitored in real-time to get fixed as they fail? Likewise, statistical models can be monitored and fixed automatically, and, of course, even so they w
81.
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by
aficionado
11y ago
I'm a little bit worried. At least at the same level as when I see a bunch of developers compiling programs without much understanding of what an LL(k) parser does, or how a pushdown automaton works, or what a Turing machine is. I usua
82.
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Why I Left My Bank Executive Job to Join BigML
(blog.bigml.com)
1 points
by
aficionado
11y ago
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0 comments
83.
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Three new papers examine fears that machines will put humans out of work
(economist.com)
2 points
by
aficionado
11y ago
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0 comments
84.
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Letting Computers Choose Which Startups to Invest In
(techtimes.com)
2 points
by
aficionado
11y ago
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0 comments
85.
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The World’s First Automated Early Stage Investing Platform
(blog.bigml.com)
7 points
by
aficionado
11y ago
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0 comments
86.
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Criteo releases industry’s largest-ever dataset for machine learning
(sdtimes.com)
1 points
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aficionado
11y ago
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0 comments
87.
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Using Machine Learning to Compare Usain Bolt vs. Mo Farah
(technologyreview.com)
2 points
by
aficionado
11y ago
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0 comments
88.
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How machine learning works
(economist.com)
3 points
by
aficionado
11y ago
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0 comments
89.
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The Past, Present, and Future of Machine Learning APIs
(slideshare.net)
3 points
by
aficionado
11y ago
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0 comments
90.
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by
aficionado
12y ago
Did anyone actually give it a try? I only get this error with any dataset (even a humble Iris): Amazon ML cannot create an ML model: 1 validation error detected: Value null at 'predictiveModelType' failed to satisfy constraint: Me
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