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Apache Kafka and the four challenges of production machine learning systems – O’Reilly Media

Machine learning has become mainstream, and suddenly businesses everywhere are looking to build systems that use it to optimize aspects of their product, processes or customer experience. The cartoon version of machine learning sounds quite easy: you feed in training data made up of examples of good and bad outcomes, and the computer automatically learns from these and spits out a model that can make simila ...

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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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When every drop counts: Schneider Electric transforms agriculture with the Internet of Things for sustainable farming – Transform

In the grassy Canterbury Plains of New Zealand, Craig Blackburn raises cattle and sheep in a line of work with a long tradition, in which he keeps a close eye on crops, land, weather and water. But Blackburn blends modern technology with his agricultural roots to manage the 990-acre Blackhills farm, a complex, bustling operation with 2,100 cattle and 800 sheep. The farm runs on irrigated water from the scen ...

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Baidu employs the PaddlePaddle framework internally for prediction systems, along with Python to make training models and deriving predictions a snap Many of the latest machine learning and data science tools purport to be easy to work with compared to previous generations of such frameworks and libraries. Chinese search engine giant Baidu now has an open source project in the same vein: a machine learning ...

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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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Microsoft Updates its Deep Learning Toolkit | Cortana Intelligence and Machine Learning Blog

We are delighted to announce that Microsoft has brought Microsoft Cognitive Toolkit version 2.0 out of beta and is making the first release candidate available today. The toolkit, previously known as CNTK, is a system for deep learning used to speed advances in areas such as speech and image recognition and search relevance on CPUs and NVIDIA® GPUs. Cognitive Toolkit can be used on-premises or in the cloud ...

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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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Artificial intelligence: how it’s transforming financial services today

Artificial intelligence: how it’s transforming financial services today. As customers and employees demand better and faster ways to engage, organisations are turning to digital technology to help them transform, remain competitive and grow. For many firms transforming business operations via technology means improving how they interact with — and meet — customer needs. In fact, customer experience represen ...

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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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