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Machine learning applied to trademarks classification and search speaker: christophe mazenc, director, global databases division, global infrastructure sector.
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The workshop covered the basics of machine learning.
Hdsc august '21 premiere project presentation: hr analytics classification using machine` learning undertaken by team keras.
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The first row shows the input compass point clouds.
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• machine learning is a branch of artificial intelligence founded on the estimate that systems tooshie learn from information, identify patterns and make decisions with minimal human intercession • the pattern: understand, learn, foreshadow, adapt and repetition • when systems start acting autonomously they can garden truck surprising result.
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Authors drew conway and john myles light-colored help you infer machine learning and statistics tools direct a series of hands-on case studies, instead of letter a traditional math-heavy presentation.
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Is there a SlideShare for AI and machine learning?
This presentation discusses matters of AI and machine learning. This presentation was given during the ITU-T workshop on Machine Learning for 5G and beyond, he… Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising.
How is supervised learning used in machine learning?
Supervised learning is a technique where the program is given labelled input data and the expected output data. It gets the data from training data containing sets of examples. They generate two kinds of results : Classification: They notify the class of the data it is presented with.
How to present the results of machine learning?
Once you have discovered a good model and a good enough result (or not, as the case may be), you will want to summarize what was learned and present it to stakeholders. This may be yourself, a client or the company for which you work. Use a powerpoint template and address the sections listed below.
How to present machine learning results to non-technical stakeholders?
As a data scientist it was difficult to explain machine learning results to non-technical stakeholders. After some trial and error I came up with a way to transform model results into a format my stakeholders were able to understand. Today I’d like to share my methodology that I’ve used with great success.
Last Update: Oct 2021
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23.10.2021 08:21
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This picture shows Time study results presentation.
This picture demonstrates How to present a machine learning model.