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Links 1 through 10 of 5733 Cesar's Bookmarks

The 11th anniversary of Google Scholar passed yesterday. provides an overview of the growth and impact of the platform and also looks at why Google Scholar is virtually unrivaled.

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This library uses a large geo-dictionary of countries, regions and cities, all stored in a MySQL database. The source data required is included in this project. To get started: Those are the actual strings that the tool picked out as locations.

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If software is eating the world, as so often said, data also is clamping down on crime. The software of Arlington, Va.-based Giant Oak focuses data on problems such as human trafficking and well as trafficking in animal parts, financial fraud and more.

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Los enormes avances de la robótica están permitiendo automatizar puestos de trabajo en algunas industrias, lo que ha abierto el debate sobre si sustituirán al ser humano o no en algunos de estos puestos.

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Solo uno de cada 10 usuarios de móvil tiene una app para realizar y gestionar los pagos con tarjeta. El 35,7% de los usuarios españoles que tiene instalada una aplicación de pagos utiliza BBVA Wallet.

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What we’ve learned about brands in London from 5 million Instagram posts. View Interactive London Instagram Map

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Speech recognition is divided into three components. You have the signal part—when you have a speech signal and you're trying to create to extract speech segments because the signal can be noisy. So, you try to extract speech segments and extract features, like every machine learning problem.

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RDD is a collection of elements partitioned across the nodes of the cluster. It's core component and abstraction. Batches: SparkStreaming API simply divides the data into batches, that batches also same collection of Streaming objects/elements.

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Spark has gotten better and better over time at optimizing workloads and staying away from IO bottlenecks. They even moved to a BitTorrent style of protocol to speed up network transmission rates. Now, the problem areas are all in the shuffle, serialization and hashing, all CPU intensive operations.

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This is an approximate transcript of a Pecha-Kucha style talk I gave at a DataBeers Madrid event in the Google Madrid Campus on June 27, 2016. A Pecha-Kucha presentation recommends 20 slides for 20 seconds each, forcing a concise, fast paced, and entertaining 7 minutes talk.

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