Machine learning platforms

Enterprises need to make smart investments in machine learning platforms. With a range of features and price tags, making the right choice can seem like a daunting task. Discover machine learning platform comparison content, information on getting started with machine learning algorithms and best practices to gain the most from projects.

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Machine learning platforms News

June 17, 2020 17 Jun'20
DataRobot training aims to upskill citizen data scientists

DataRobot unveiled a new data science training program, and enhancements to its enterprise AI platform, including a geospatial capability and automated time series anomaly detection.
June 09, 2020 09 Jun'20
NetApp hybrid cloud infrastructure management hits the Spot

NetApp makes its third cloud-related acquisition of 2020; the company says it will buy Spot, which uses machine learning to optimize cloud capacity and reduce infrastructure costs.
January 06, 2020 06 Jan'20
U.S. restricts exports of geospatial AI software

The Trump administration's move to limit export of AI-based geospatial imaging software extends U.S. restrictions on technology that foreign countries could use to develop weapons systems.
December 12, 2019 12 Dec'19
DataRobot acquisition of Paxata adds data prep to AI platform

By buying data prep vendor Paxata, DataRobot plans to fill out its machine learning and AI platform with tools to automate data prep processes and provide an underlying data fabric.

Machine learning platforms Get Started

Bring yourself up to speed with our introductory content

Learn the business value of AI's various techniques

To drive business value from AI, business managers need to distinguish between the various AI techniques, starting with the many flavors of machine learning. Continue Reading
machine learning

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Continue Reading
curiosity artificial intelligence (curiosity AI)

Curiosity artificial intelligence (curiosity AI) is the simulation of human curiosity in artificial intelligence. Continue Reading

Evaluate Machine learning platforms Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Explore common machine learning use cases in IT operations

Machine learning is a hot topic with use cases that span IT and the business. Learn how IT operations teams most commonly apply the technology -- from help desk response to gauging end-user satisfaction. Continue Reading
Artificial intelligence content writing ramps up publishing

To ease the burden that is associated with content production, AI in content production has been deployed to augment writers' work and to help monitor and measure post engagement. Continue Reading
Deep learning's role in the evolution of machine learning

Machine learning has continued to evolve since its beginnings some seven decades ago. Learn how deep learning has catalyzed a new phase in the evolution of machine learning. Continue Reading

Manage Machine learning platforms

Learn to apply best practices and optimize your operations.

How to build a machine learning model in 7 steps

Building a viable, reliable and agile machine learning model that streamlines operations and bolsters business planning takes patience, preparation and perseverance. Continue Reading
Find out how smart you are about machine learning and AI

Machine learning can help businesses gain powerful analytics value from their data -- but only if it's done right. How much do you know about machine learning and related forms of AI? Continue Reading
MLOps tools hope to boost enterprise model implementation

Taking notes from DevOps lifecycle management, machine learning operations tools and platforms seek to improve accuracy, ease integration problems and keep models trained. Continue Reading

Problem Solve Machine learning platforms Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Understanding how deep learning black box training creates bias

Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology. Continue Reading
6 ways to reduce different types of bias in machine learning

As adoption of machine learning grows, companies must become data experts -- or risk results that are inaccurate, unfair or even dangerous. Here's how to combat ML bias. Continue Reading
The future state of machine learning needs improved frameworks

Utilizing machine learning in the collection and processing of data would most likely lead to more widespread adoption of AI based on the technology. Continue Reading