keystone-ml.org
KeystoneMLKeystoneML is software from the UC Berkeley AMPLab designed to simplify the construction of large-scale end-to-end machine learning pipelines.
http://www.keystone-ml.org/
KeystoneML is software from the UC Berkeley AMPLab designed to simplify the construction of large-scale end-to-end machine learning pipelines.
http://www.keystone-ml.org/
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KeystoneML | keystone-ml.org Reviews
https://keystone-ml.org
KeystoneML is software from the UC Berkeley AMPLab designed to simplify the construction of large-scale end-to-end machine learning pipelines.
O que eu vi Strata + Hadoop World NY 2015 - PARTE 1 · Grandes Dados
http://grandesdados.com/post/o-que-eu-vi-na-strata-ny-parte-1
O que eu vi Strata + Hadoop World NY 2015 - PARTE 1. Oct 7, 2015. Na última semana (29-01 de Outubro) estive na Strata. Em Nova Iorque, o evento de Big Data mais importante do ano, pela Globo.com. O evento foi bem interessante, foi importante a confirmação que a arquitetura usada por nós. Do time de Big Data da Globo.com é a mesma usada nos players mais respeitados e o futuro parece ser na direção de Deep Learning, tema discutido em várias apresentações. Hardcore Data Science em mais detalhes. É um ótimo...
6 reasons why I like KeystoneML | The Gradient Flow
https://gradientflow.com/2015/07/16/6-reasons-why-i-like-keystoneml
Data / Technology / Culture. Hardcore Data Science and Data Engineering. 6 reasons why I like KeystoneML. A version of this article appears on the O’Reilly Radar. The O’Reilly Data Show Podcast: Ben Recht on optimization, compressed sensing, and large-scale machine learning pipelines. As we put the finishing touches on what promises to be another outstanding Hardcore Data Science Day. At Strata Hadoop World in New York. I sat down with my co-organizer Ben Recht. KeystoneML opens up new data types. Most d...
Linkdump s01e20
http://outlawanalytics.com/2015/07/17/linkdump-s01e20.html
On Jul 17, 2015 under Linkdump s01. Timothée Poisot Don’t enforce R as a standard. Cauchy-Schwarz Master Class: Introduction to the Art of Inequalities Links to Reviews, Sample Chapters, Typos, Original Sources. Easy Bayesian Bootstrap in R - Publishable Stuff. THE DATA OR THE HUNCH. A crash course in first-order logic. Probably Overthinking It: The Sleeping Beauty Problem. Two big challenges in machine learning. Dataquest Blog - How to actually learn data science. Statistical Advice for A/B Testing.
Berkeley Artificial Intelligence Research Lab
http://bair.berkeley.edu/software.html
Solver for sparse inverse problems in computational imaging. A framework for graph large-scale distribured graph structured computation. High-performing systems for a number of NLP tasks, including syntactic parsing, entity analysis, structured prediction, OCR, language modeling, and word alignment. BLOG probabilistic programming language (PPL). A general purpose probabilistic programming language designed for representing relations and uncertainties among real world objects. Open source deep learning.
Machine Learning Pipelines – Technology Musings
https://phisymmetry.wordpress.com/2016/12/02/ml-tensorflow
Just another WordPress.com site. Date: December 2, 2016. There are various approaches to create Machine Learning Pipelines:. 3 Sparkling Water (Spark H2O). In part-1 , we shall discuss TensorFlow and Spark ML Pipeline. Here we shall run a tensorflow application using a Jupyter notebook. Once Conda is installed check current configuration:. Platform : osx-64 conda version : 3.10.0 conda-build version : 1.11.0 python version : 3.4.3.final.0 requests version : 2.9.1. Create a Conda Tensorflow environment:.
machine learning | The Gradient Flow
https://gradientflow.com/tag/machine-learning
Data / Technology / Culture. Hardcore Data Science and Data Engineering. Building a business that combines human experts and data science. The O’Reilly Data Show podcast: Eric Colson on algorithms, human computation, and building data science teams. A version of this post appears on the O’Reilly Radar. Subscribe to the O’Reilly Data Show Podcast. To explore the opportunities and techniques driving big data and data science. In this episode of the O’Reilly Data Show, I spoke with Eric Colson. Our business...
workflow | The Gradient Flow
https://gradientflow.com/tag/workflow
Data / Technology / Culture. Hardcore Data Science and Data Engineering. We need open and vendor-neutral metadata services. A version of this article appears on the O’Reilly Radar. Comprehensive metadata collection and analysis can pave the way for many interesting applications. As I spoke with friends leading up to Strata Hadoop World NYC 2015, one topic continued to come up: metadata. At the recent Strata Hadoop World, U.C. Berkeley professor. Improved data analysis: metadata-on-use. That context-switc...
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