MNCC

Nous sommes une équipe de professionnels expérimentés possédant une solide connaissance dans le domaine du traitement et de la restitution des données.

[MIT CSAIL @MIT_CSAIL]

30 years ago today CS student Robert Morris launched the first Internet worm, which infected roughly 10% of the world’s Internet-enabled computers. Morris is now an MIT prof: https://t.co/was5HeRQNc #MorrisWorm (credit: @washingtonpost)

[MNCC @mnccfr]

Short notice: one of us will be speaking at the @AccumuloSummit! Check out the agenda and register today - https://t.co/deiSfwT1uU October 15th #accumulo #bigdata #nosql

[MIT CSAIL @MIT_CSAIL]

Google's new "Dataset Search" tool lets researchers find datasets wherever they're hosted - a publisher's site, a digital library, or even an author's personal webpage: https://t.co/C9sSKZpCWd (v/@GoogleAI) #bigdata #datascience

[MNCC @mnccfr]

Calling Bullshit https://t.co/C3m1udaz7W

[MNCC @mnccfr]

Judea Pearl: To Build Truly Intelligent Machines, Teach Them Cause and Effect https://t.co/apmMtvcZwq

[Delip Rao @deliprao]

#NLProc: Small word embedding nuance that's not often discussed: When using pre-trained embeddings, in many situations it is better to use the same tokenizer that was used to derive the embeddings.

[MNCC @mnccfr]

A.I. Is Harder Than You Think - The New York Times https://t.co/9q9Aqb7jxp

[MNCC @mnccfr]

Big Data File Formats Demystified https://t.co/2MH5xXByPk

[MNCC @mnccfr]

Smart Compose: Using Neural Networks to Help Write Emails https://t.co/pRjjXOFi6x

[MNCC @mnccfr]

Data Encodings and Layout:
Structured data encoding options for Messaging https://t.co/yZmW7i8S4j

[MNCC @mnccfr]

Explorer != Rechercher https://t.co/nSHm1GDjR8

[MNCC @mnccfr]

OPUS is a growing collection of translated texts from the web. In the OPUS project we try to convert and align free online data, to add linguistic annotation, and to provide the community with a publicly available parallel corpus. https://t.co/mxK0aN5Q4x

[MNCC @mnccfr]

Facebook’s Field Guide to Machine Learning video series – Facebook Research https://t.co/FrzaFx28Nx

[MNCC @mnccfr]

Introducing state of the art text classification with universal language models - https://t.co/tHU2td13me NLP https://t.co/F465Ekn3xN

[MNCC @mnccfr]

Algorithms Behind Modern Storage Systems - ACM Queue https://t.co/SAelrUgEcO

[MNCC @mnccfr]

Extracting Structured Data From Recipes Using Conditional Random Fields - The New York Times https://t.co/UMNEecC3oC

[MNCC @mnccfr]

VP trees: A data structure for finding stuff fast https://t.co/BSmRYockqG

[MNCC @mnccfr]

The Origins of “Artificial Intelligence” by Rodney Brooks https://t.co/OsMKYhPOD6

[MNCC @mnccfr]

The Expertmaker Accelerator is a well-proven data processing framework that provides fast data access, parallel execution, and automatic organization of source code, input data, and results. https://t.co/8uvHvw5R2A

[MNCC @mnccfr]

Best practices for using Apache NiFi in real world projects - 3 takeaways https://t.co/a9pnwsMXqG