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TensorForce: A TensorFlow library for applied reinforcement learning – reinforce.io

This blogpost will give an introduction to the architecture and ideas behind TensorForce, a new reinforcement learning API built on top of TensorFlow. This post is about a practical question: How can the applied reinforcement learning community move from collections of scripts and individual examples closer to an API for reinforcement learning (RL) — a ‘tf-learn’ or ‘skikit-learn’ for RL? Before discussing ...

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Deep Learning with Emojis (not Math) – tech-at-instacart

Sorting shopping lists with deep learning using Keras and Tensorflow. Shopping for groceries is hard. Stores are large and have complex layouts that are confusing to navigate. The hummus you want could be in the dairy section, the deli section, or somewhere else entirely. Efficiently navigating a store can be a daunting task. At Instacart, our customers can order millions of products from hundreds of retail ...

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An Exclusive Look at How AI and Machine Learning Work at Apple

Three years earlier, Apple had been the first major tech company to integrate a smart assistant into its operating system. Siri was the company’s adaptation of a standalone app it had purchased, along with the team that created it, in 2010. Initial reviews were ecstatic, but over the next few months and years, users became impatient with its shortcomings. All too often, it erroneously interpreted commands. ...

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Using Apache Spark for large-scale language model training | Engineering Blog | Facebook Code

Processing large-scale data is at the heart of what the data infrastructure group does at Facebook. Over the years we have seen tremendous growth in our analytics needs, and to satisfy those needs we either have to design and build a new system or adopt an existing open source solution and improve it so it works at our scale. For some of our batch-processing use cases we decided to use Apache Spark, a fast- ...

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Why Businesses are Leaning towards Machine Learning … 

Many companies are slowly waking up each day to the smell of a new coffee. It's called Machine Learning! Machine Learning is here to stay. It is expected to influence every aspect of life, including the way business decisions will be made in future. It's already happening. Machine Learning phenomenon: Machine Learning is a shortcut for machines or systems to learn the way decisions are made in life, which a ...

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Review: The best frameworks for machine learning and deep learning | InfoWorld

Over the past year I've reviewed half a dozen open source machine learning and/or deep learning frameworks: Caffe, Microsoft Cognitive Toolkit (aka CNTK 2), MXNet, Scikit-learn, Spark MLlib, and TensorFlow. If I had cast my net even wider, I might well have covered a few other popular frameworks, including Theano (a 10-year-old Python deep learning and machine learning framework), Keras (a deep learning fro ...

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Google Cloud Platform Blog: Introducing Cloud Spanner: a global database service for mission-critical applications

Introducing Cloud Spanner: a global database service for mission-critical applications Today, we’re excited to announce the public beta for Cloud Spanner, a globally distributed relational database service that lets customers have their cake and eat it too: ACID transactions and SQL semantics, without giving up horizontal scaling and high availability. When building cloud applications, database administrato ...

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Microsoft’s New AI Writes Code For People Who Don’t Know Coding

DeepCoder is an artificial intelligence system built by the researchers at Microsoft and the University of Cambridge. Based on a technique called program synthesis, DeepCoder can write working code after searching from a huge code database. It tries to make the best possible arrangement for the harvested code fragments and improves its efficiency over time. We’ve about the very basic artificial intelligence ...

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How AI Is Changing The Way Companies Are Organized

Artificial Intelligence may still be in its infancy, but it’s already forcing leadership teams around the world to reconsider some of their core structures. Advances in technology are causing firms to restructure their organizational makeup, transform their HR departments, develop new training models, and reevaluate their hiring practices. This is according to Deloitte’s 2017 Human Capital Trends Report, wh ...

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Experts on the Pros and Cons of Algorithms | Pew Research Center

Code-Dependent: Pros and Cons of the Algorithm Age Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment (filistimlyanin/iStock.com) A ...

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