Machine Learning

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OpenAI debuts Python-based Triton for GPU-powered machine learning

Triton uses Python’s syntax to compile to GPU-native code, without the complexities of GPU programming.

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6 essential Python tools for data science—now improved

SciPy, Numba, Cython, Dask, Vaex, and Intel SDC all have new versions that aid big data analytics and machine learning projects.

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The real successes of AI

Despite the hype, especially around self-driving cars, AI is writing code, designing Google chip floor plans, and telling us how much to trust it.

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5 AI startups out to change the world

Deep learning is solving challenging problems in industries as diverse as retail, manufacturing, and agriculture. These companies are leading the way.

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AI gives software development tools a boost

GitHub Copilot, DeepDev, IntelliCode, and other code-focused applications of machine learning can help us deliver better code, faster.

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How the cloud and big compute are remaking HPC

High-performance computing projects require massive quantities of compute resources. Pairing simulation and specialized hardware with the cloud powers the breakthroughs of the future.

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State of AI report finds AI is now core to business success

Appen survey of business leaders and data scientists indicates that AI initiatives are delivering business value but challenges still exist.

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How to visualize time series data

Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis.

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Simplify machine learning with Azure Applied AI Services

Microsoft is wrapping its Cognitive Services machine learning platform as business-focused services.

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5 AI startups leading MLops

From data preparation and training to model deployment and beyond, these companies offer state-of-the-art platforms for managing the entire machine learning lifecycle.

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Excel, Python, and the future of data science

If the ubiquitous spreadsheet program is the gateway to data science, Python aims to be the next step.

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The value of time series data and TSDBs

Time series data key insights in domains ranging from science and medicine to systems monitoring and industrial IoT. Understand time series data and the databases designed to ingest, store, and analyze time series data.

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IBM Python toolkit measures AI uncertainty

IBM’s Uncertainty Qualification 360 is an open source library of Python algorithms for quantifying, estimating, and communicating the uncertainty of machine learning models.

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3 AI startups revolutionizing NLP

Deep learning has yielded amazing advances in natural language processing. Tap into the latest innovations with Explosion, Huggingface, and John Snow Labs.

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How AI can enhance customer experience

G&J Pepsi and Zipline turn to data science and machine learning to get the right products to the right locations at the right time.

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Machine teaching with Microsoft’s Project Bonsai

Microsoft’s simulation-based machine teaching environment provides a way to build AI control systems.

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Google Vertex AI unifies cloud machine learning toolkit

Vertex AI brings together all of the Google Cloud services for building machine learning under one unified UI and API.

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Dataiku review: Data science fit for the enterprise

Dataiku’s end-to-end machine learning platform combines visual tools, notebooks, and code to address the needs of data scientists, data engineers, business analysts, and AI consumers.

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Cloud and digital transformation gain speed

Leading companies that jumped in early are reaping the rewards, but it’s not too late for lagging organizations. Find the people and partners to help you move ahead.

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