Add ML.NET Roadmap #30
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Resolves ISSUE: #27 - Adds readmap.md - Updates solution to include MD files. - fixes missing link in readme.md
glebuk
requested review from
dotnet-bot,
codemzs,
eerhardt,
markusweimer,
shauheen,
danmoseley and
KrzysztofCwalina
danmoseley
reviewed
May 5, 2018
ROADMAP.md
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| ### Featurization Improvements | ||
| * Text (*) | ||
| * Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking |
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Something is wonky with the bullets here, it isn't rendering right. Tabs/spaces? #Resolved
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What's the issue with the bullets? Can you be more specific?
I have two levels of indentations. They look ok for me on Github.
In reply to: 186246779 [](ancestors = 186246779)
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danmoseley
approved these changes
May 5, 2018
shauheen
approved these changes
May 5, 2018
Mention more and new scenarios
eerhardt
reviewed
May 5, 2018
| * Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking | ||
| * Pre-trained text models that can be used for extracting of semantic or sentiment features from text | ||
| * Image (*) | ||
| * Image preprocessing such as loading, resizing, and normalization if images |
ROADMAP.md
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| * Hybrid training of pipelines containing both DNN and non-DNN predictors | ||
| * Additional ML tasks (*) | ||
| * _Recommendation_ - Is a problem that can be phrased a: "For a given user, predict the ratings this user would give to the items that they have not explicitly rated yet" | ||
| * _Anomaly Detection_, also known as _outlier detection_. It is a task to identify items, events or observations which do not conform to an expected pattern in the dataset. Typical examples are: detecting credit card fraud, medical problems or errors in text. Anomalies are also referred to as outliers, �novelties, noise, deviations and exceptions |
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Anomaly detection is mentioned in the short term section as well. Is this a duplicate?
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Resolves issue #27
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