Machine Learning

All about machine learning and deep learning

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How to choose the right Azure cloud VMs

As Microsoft’s cloud gets more complex, building infrastructure as a service gets easier

artificial intelligence / machine learning / worker replacement

What to know before you get started with TensorFlow machine learning

Machine learning isn’t something you buy but something you do. Use TensorFlow to experiment now with machine learning so you can build it into your DNA

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No, you shouldn’t keep all that data forever

Most of your old data is useless trash. So throw it away, rather than spend all the time and money hoping AI will figure something out about it

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Beyond NLP: 8 challenges to building a chatbot

Natural language processing is the key to communicating with users, but doesn't solve the business problem on its own

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For developers, Microsoft’s AI future gets a foundation

New tools and an AI school show that Microsoft is getting serious about delivering to developers an AI-powered future

artificial intelligence / machine learning / virtual brain

Microsoft debuts beta Visual Studio Tools for AI

Microsoft also has new tools for machine learning applications in IoT devices, Apple's Core ML, and Azure SQL

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Real-time machine learning with TensorFlow, Kafka, and MemSQL

How to build a simple machine learning pipeline that allows you to stream and classify simultaneously, while also supporting SQL queries

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What is Apache Spark? The big data analytics platform explained

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning

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The implicit value of a mind

People will always think differently from AI, and our added perspectives can only enrich what AI has to offer

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Review: H2O.ai automates machine learning

Driverless AI really is able to create and train good machine learning models without requiring machine learning expertise from users

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ML is cool, but synthesized media is the new buzz

Once machine learning and AI help us identify images, videos, and sound, we can collect and tag data at scale. Not only that, but we can also do it at incredible speed

artificial intelligence / machine learning / network

Apache PredictionIO: Easier machine learning with Spark

An open source project now under Apache’s guidance uses a template system for easy training and deployment of Spark-powered machine learning models

automation

Even data scientists are facing AI takeover

As euphemisms fly for AI replacing human activity, data scientists start to experience the benefits and risks of AI-assisted automation

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A deeper look at what artificial intelligence actually is

Has AI become more of a marketing tool, a buzzword that gets attention and makes companies look like they’re on the cutting edge?

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Your analytics strategy is obsolete

While analytics is a giant market and filled with confusing marketing speak, there are big trends shaping the industry that will dictate where organizations invest

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Making sense of co-bots

There's been plenty of buzz lately about robots taking over human jobs. But collaborative robots that work with people is a much more likely scenario

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5 essential Python tools for data science—now improved

SciPy, Cython, Dask, HPAT, and Numba all have new versions that aid big data analytics and machine learning projects

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Maturing devops practices: what you don’t yet know

Why is it so hard for organizations to succeed in the journey to devops?

artificial intelligence / machine learning

Gluon brings AI developers self-tuning machine learning

A Microsoft and Amazon joint effort makes neural networks easier to program and use with the MXNet and Microsoft Cognitive Toolkit frameworks

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The drivers and social responsibility of automation

There’s a tendency to take a negative view where automation is involved. But there are plenty of examples of how automation can reshape our lives in positive ways

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