Compiling GCC 10 on macOS Mojave | Solarian Programmer
Compiling GCC 10 on macOS Mojave Posted on May 21, 2017 by Paul Updated 29 May 2020 In this tutorial, I will show you how to compile from source and install the current stable version of GCC on your macOS computer. The instructions from this tutorial were tested with latest version of Command Line Tools and Mojave (macOS 10.14). If you are using Catalina (macOS 10.15) check this tutorial. Clang, t
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural l
Fundamentals of Deep Learning
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this p
Artificial Intelligence and Analytics
Achieving desired business results in today's complex, connected world requires a high-performance blend of humans with machines, automation with artificial intelligence, and business analytics with data science. Welcome to the Age of With, where Deloitte translates insights into performance—through AI services, solutions, and capabilities. Who we are Many of the world’s leading businesses count o
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Deep learning on Spark with DL4J - Qiita
この記事はSpark Advent Calendar 9日目の記事として書きました。 Spark上でDeep Learningのアルゴリズムを走らせるにはいくつか方法があります。 MLlibで実装されているMultilayerPerceptronClassifierを使う Sparkling Waterを使う deeplearning4jを使う 今回は３つ目のdeeplearning4jをSparkから利用する方法を紹介したいと思います。 deeplearning4jとは Skymindが中心となって開発をしているJVM上で動くDeep Learningのフレームワークです。Deep Learningのアルゴリズムを実装したものはCaffeやTorch, Chainerなどがありますが、これらはメインではLuaやC/C++で実装されています。deeplearning4jはJava, Sca
Benchmarking Apache Parquet: The Allstate Experience - Cloudera Blog
Our thanks to Don Drake (@dondrake), an independent technology consultant who is currently working at Allstate Insurance, for the guest post below about his experiences comparing use of the Apache Avro and Apache Parquet file formats with Apache Spark. Over the last few months, numerous hallway conversations, informal discussions, and meetings have occurred at Allstate about the relative merits of
Introducing and Open Sourcing Ambry
Introducing and Open Sourcing AmbryLinkedIn’s New Distributed Object Store Media content has become ubiquitous around the web and almost all of Linkedin's new features interact with media in some form or the other. Profile photos, email attachments, logos, and influencer posts are a few examples of where photos, videos, PDFs, and other media types get uploaded and displayed to the end user. These
DataScienceCentral.com - Big Data News and Analysis
DSC Weekly 16 April 2024 Scott Thompson | April 16, 2024 at 1:38 pm Announcements Top Stories In-Depth... Using window functions for advanced data analysis Erika Balla | April 15, 2024 at 1:53 pm Window functions are an advanced feature of SQL that provides powerful tools for detailed data analysis and manipulation... Get ready for future innovations with large language models Prasanna Chitanand |
深層学習ライブラリ Keras - 人工知能に関する断創録
ここ1年くらいDeep Learning Tutorialを読みながらTheanoというライブラリで深層学習のアルゴリズムを実装してきた。 深層学習の基本的なアルゴリズムならTheanoでガリガリ書くこともできたがより高度なアルゴリズムをTheanoでスクラッチから書くのはとてもきつい*1。 そんなわけでPylearn2、Lasagne、nolearnなどのTheanoベースのラッパーライブラリをいろいろ調べていたのだが、結局のところKerasというライブラリが一番よさげだと思った。KerasはバックエンドとしてTheanoとTensorflowの両方が使え、より高レイヤな表現（たぶんChainerと同レベル）で深層学習のさまざまなアルゴリズムが記述できる。TheanoやTensorflowは完全に隠蔽されており、Kerasで書かれたプログラムはまったく修正せずにTheanoとTensor
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Learning to Segment Object Candidates | GitXiv
GitHub - stitchfix/fauxtograph: Tools for using a variational auto-encoder for latent image encoding and generation.
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At Stitch Fix, data scientists and A.I. become personal stylists
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