Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

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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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8 databases supporting in-database machine learning

While approaches and capabilities differ, all of these databases allow you to build machine learning models right where your data resides.

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3 enterprise AI success stories

How Beacon Street Services, Company Nurse, and Devon Energy are using artificial intelligence and machine learning to improve sales and marketing, identify and protect sensitive information, and automate oil drilling operations.

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Packing safety intelligence into robots’ AI brains

We’re finding that smart robots don’t necessarily have the common sense needed to keep human beings out of harm’s way.

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How to excel with data analytics

Finding success with data analytics requires good tools, good data management, and good strategy. Turn to these best practices to turn your growing volumes of data into better business decision-making.

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4 key tests for your AI explainability toolkit

Enterprise-grade explainability solutions provide fundamental transparency into how machine learning models make decisions, as well as broader assessments of model quality and fairness. Is yours up to the job?

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8 ways to jump-start your machine learning

From exploratory data analysis to automated machine learning, look to these techniques to get your data science project moving — and to build better models.

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Ensuring that citizen developers build AI responsibly

'Trust but verify' is good advice, but can we realistically do either with AI?

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Data wrangling and exploratory data analysis explained

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

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