DataRobot Blog

MAY 10, 2022

It has been over a decade since the Federal Reserve Board (FRB) and the Office of the Comptroller of the Currency (OCC) published its seminal guidance focused on Model Risk Management ( SR 11-7 & OCC Bulletin 2011-12 , respectively). With this definition of model risk, how do we ensure the models we build are technically correct?

Machine Learning 64

Machine Learning Machine Learning Data Quality Algorithm 64

Alation

FEBRUARY 20, 2020

They share wins, educate us on challenges, provide feedback and define the use cases that drive our definition of the boundaries of the data cataloging category. 7] Harvard Business Review, Category Creation Is the Ultimate Growth Strategy, Eddie Yoon, September 26, 2011. Michelle Goetz had an opportunity to speak with many of them.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Analytics 52

Dataconomy

JUNE 15, 2023

Marvin Minsky offers a definition of AI as the development of computer programs that engage in tasks that currently rely on high-level mental processes such as perceptual learning, memory organization, and critical reasoning. This demonstrated the astounding potential of machines to learn and differentiate between various objects.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence Deep Learning Deep Learning 103

Flipboard

MARCH 18, 2023

Some of his early published work on the question, from 2011 and 2012, raises questions about what shape those models will take, and how hard it would be to make developing them go well — all of which will only look more important with a decade of hindsight. I think many plausible regulations have a lot of downsides and may not succeed.

Artificial Intelligence 123

Artificial Intelligence Artificial Intelligence AI AI 123

Tableau

JULY 29, 2021

Since 2011, Tableau Academic Programs have been supporting the growing need for data skills by offering free resources for learning and teaching Tableau in the classroom - 1.6 a candidate came through with these types of skills and experiences on their resume, I would definitely consider them for an interview."

Tableau 52

Tableau Data Analyst Revenue Operations Analyst SQL 52

Explosion

FEBRUARY 12, 2017

The definition is block-scoped, so you can always read what the operators are being aliased to. People have been using context windows as features since at least Collobert and Weston (2011) , and likely much before. First, we fetch a pre-trained “word embedding” vector for each word in the sentence.

Deep Learning 40

Deep Learning Deep Learning Natural Language Processing Machine Learning 40

Explosion

DECEMBER 17, 2013

There are lots of problems to solve to make that work, but some sort of syntactic representation is definitely necessary. We definitely do want that distinction in the guidelines — we don’t want both to receive the same structure, or our output will be less useful. Dynamic programming algorithms for transition-based dependency parsers.

Python 45

Python Algorithm Natural Language Processing 45

Hacker News

FEBRUARY 14, 2023

And in fact the big breakthrough in “deep learning” that occurred around 2011 was associated with the discovery that in some sense it can be easier to do (at least approximate) minimization when there are lots of weights involved than when there are fairly few. First comes the embedding module. What happens if we go further?

Machine Learning 182

Machine Learning Machine Learning Algorithm Artificial Intelligence 182

Explosion

MARCH 17, 2019

In 2011, deep learning methods were proving successful for NLP, and techniques for pretraining word representations were already in use. Tokenizing languages like English and German work fine with a rule-based approach, but for languages like Chinese, Vietnamese and Japanese, statistical models are definitely required.

Python 52

Python Natural Language Processing Deep Learning Deep Learning 52

DagsHub

JULY 25, 2024

In 2011, H2O.ai Source: Author Key Features and Benefits Dynamic Computation Graphs: Chainer allows the dynamic definition of neural network architectures using imperative programming, facilitating rapid prototyping and experimentation. Further Reading and Documentation HuggingFace Transformers Documentation HuggingFace Tutorials H2O.ai

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

Explosion

APRIL 27, 2023

We have annotated a small set of articles from the BioNLP Shared Task 2011 , where the texts are taken from PubMed and PubMed Central. We also need to adjust the definition of our relation extraction model slightly. We export these annotations as a JSONL file and include it in the project as a data asset.

Machine Learning 69

Machine Learning Machine Learning Deep Learning Deep Learning 69

Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. 2 Denn heute spielt die Definition darüber, was Big Data eigentlich genau ist, wirklich keine Rolle mehr. Big Data wurde zum Business-Sprech der darauffolgenden Jahre.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Hacker News

MARCH 18, 2025

But while this is definitely useful if ones interested in what can be made using gliders, it doesnt seem to have, for example, allowed people to find much in the way of interesting new oscillators. But one feature of it is that it can generate fairly large patterns with a given period. Basically these just decrease in width (i.e.

Algorithm 169

Algorithm Machine Learning Machine Learning Data Science 169

Heartbeat

JULY 27, 2023

Tensorflow’s Feature proto definition. Tensorflow’s “Features” proto definition Because our raw data is contained as either BytesList, FloatList, or Int64List and wrapped in a “oneof” Feature proto, that simplifies the map (and thus justifies the design choice). To do this, we first create a “Feature” proto.

Deep Learning 52

Deep Learning Deep Learning Python ML 52

Heartbeat

DECEMBER 29, 2023

Subsequently he pursued his acting, starring in debut punjabi movie The Lion of Punjab in 2011.He In essence, ReActSingleInputOutputParser() is your go-to tool for smartly parsing and interpreting LLM responses, especially when they're formatted for specific actions or definitive answers.

AI 52

AI AI 52

Flipboard

JANUARY 20, 2025

He graduated in 2011 from IISERs five-year dual science degree program with bachelors and masters degrees, with a concentration in mathematics. In most cases, there is no definitive right or wrong answer, he says. He then earned a masters degree in operations research in 2012 from Columbia.

Data Science 145

Data Science Data Scientist Exploratory Data Analysis Machine Learning 145

Hacker News

JULY 13, 2023

It was definitely a person here that was not an employee but certainly had touched our technical services.” TURNABOUT IS FAIR PLAY Things started going sideways for Ashley Madison when Harrison’s employment contract was terminated in November 2011. I’ve got their profile right in front of me, all their work credentials.

Database 123

Database 123

AWS Machine Learning Blog

FEBRUARY 19, 2025

Rather than using probabilistic approaches such as traditional machine learning (ML), Automated Reasoning tools rely on mathematical logic to definitively verify compliance with policies and provide certainty (under given assumptions) about what a system will or wont do. However, its important to understand its limitations.

AWS 82

AWS Natural Language Processing Machine Learning Machine Learning 82

Hacker News

MARCH 30, 2025

For more background on safety and security issues related to C++, including definitions of language safety and software security and similar terms, see my March 2024 essay C++ safety, in context. This essay picks up our story where that one left off to bring us up to date with a specific focus on undefined behavior (aka UB).

114

114