IBM Watson Machine Learning Reviews

6 Ratings
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Score 8.1 out of 100

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January 22, 2020
Vinay Pushkarna, B.Eng, MBA | TrustRadius Reviewer
Score 5 out of 10
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Wherever you have a well qualified, segregated, data set with a clear problem definition any machine learning tool can be deployed. However, the key is to help the client define the problem to create the baseline on the performance and show improvements. It may so happen that we may not need a machine learning tool. This is where the execution of IBM Watson Machine Learning is lacking.
Read Vinay Pushkarna, B.Eng, MBA's full review

IBM Watson Machine Learning Scorecard Summary

What is IBM Watson Machine Learning?

IBM Watson Machine Learning allows businesses to deploy self-learning models at scale, allowing AI to deployed in applications and available free to try, free for limited use (5 deployed models and 5,000 predictions per month), or at cost for high workloads priced per thousands of predictions.
Categories:  MLOps,  Machine Learning

IBM Watson Machine Learning Technical Details

Operating Systems: Unspecified
Mobile Application:No

Frequently Asked Questions

What is IBM Watson Machine Learning?

IBM Watson Machine Learning allows businesses to deploy self-learning models at scale, allowing AI to deployed in applications and available free to try, free for limited use (5 deployed models and 5,000 predictions per month), or at cost for high workloads priced per thousands of predictions.

Who uses IBM Watson Machine Learning?

The most common users of IBM Watson Machine Learning are from Small Businesses and the Computer Software industry.