Machine Learning

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Julia tutorial: Get started with the Julia language

Want the convenience of a dynamic language and the performance of a compiled statically typed language? Try Julia

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Introducing BigQuery ML for building predictive models with SQL

Google’s beta extension performs linear regression forecasting and binary logistic classification in the BigQuery data warehouse

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Powering AI: The explosion of new AI hardware accelerators

Specialized hardware platforms are the future of artificial intelligence, machine learning, and deep learning at every tier and for every task in the cloud-to-edge world in which we will live

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3 big data platforms look beyond Hadoop

Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning

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PyTorch review: A deep learning framework built for speed

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs

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In-memory computing: enabling continuous learning for the digital enterprise

Real-time machine and deep learning use cases are now practical, thanks to in-memory computing platforms with integrated continuous learning capabilities

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3 common machine learning mistakes to avoid

Enterprises keep making these three mistakes, wasting their money, reducing app performance, and getting bad results

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Modern artificial intelligence: algorithms through analytics

The silicon-based algorithms that accelerate the next generation of AI happening now are powerful. But what is the strategy for quality assurance of this technology?

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Reasons to welcome artificial intelligence into your workplace

When placed in the proper context, AI in the workplace isn’t something to fear, but rather something to celebrate and embrace

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What is Julia? A fresh approach to numerical computing

A “no compromises” programming language for data scientists, Julia combines the ease of a dynamic language with the speed of a compiled language

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The hidden transformation underlying AI transformations

There is a rarely discussed but tremendously important dynamic facing every business deploying machine learning: what’s changing below the surface

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5 Python distributions for mastering machine learning

From bare-bones to full-blown, learn which edition of Python is best for your machine learning projects

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Practical AI: or why everything that says it is, isn’t

Complex algorithms do not an intelligent program make, yet, true AI can be a very involved undertaking fraught with high overheads, a substantial investment in IT support, and an ongoing need to monitor and manage the training that an...

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How far can digital assistants take us in the realm of AI?

Digital assistants keep getting more advanced, but there may be an upper limit to how far they can progress before they reach an ultimate plateau

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What is TensorFlow? The machine learning library explained

TensorFlow is a Python-friendly open source library for numerical computation that makes machine learning faster and easier

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The 5 unsexy problems we need to solve for better AI

Getting to the next level of AI requires us to deal with key challenges that aren’t commonly discussed. Until we solve them, we’ll be stuck indefinitely at our current level of sophistication

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Virtual assistants don’t need developers or AI

Virtual assistants could do so much more for enterprises, if only we’d realize they are essentially command-line interfaces that don’t require custom coding or AI tech to work

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Cloud-based AI: The game-changer not to fret about

The big companies are talking to the government about artificial intelligence capabilities—and possible regulations. Uh-oh

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Why today’s real-time economy needs machine learning

The combined power of machine learning and artificial intelligence enable industries to process, analyze, and act on data in real time

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Big data + AI: Context, trust, and other key secrets to success

Machine learning can supercharge data analysis and spur innovation, but it lacks the business context to make optimal decisions every time

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