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pattern.en | CLiPS
The pattern.en module contains a fast part-of-speech tagger for English (identifies nouns, adjectives, verbs, etc. in a sentence), sentiment analysis, tools for English verb conjugation and noun singularization & pluralization, and a WordNet interface.
python  nlp  text  analysis 
20 hours ago by griddell
General purpose AI in business – too hard and waiting for its Netscape Moment - by @krmarko
"AI is getting plenty of attention but when it comes to developing general purpose AI solutions, we're a long way from having convenient, packaged products accessible to the non-specialist."
analytics  planning  and  data  analysis  machine  intelligence  ai 
21 hours ago by jonerp
TextBlob: Simplified Text Processing — TextBlob 0.12.0 documentation
TextBlob is a Python (2 and 3) library for processing textual data. It provides a consistent API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, and more.
python  machinelearning  nlp  analysis 
22 hours ago by griddell
rrrene/credo: A static code analysis tool for the Elixir language with a focus on code consistency and teaching.

credo can show you refactoring opportunities in your code, complex and duplicated code fragments, warn you about common mistakes, show inconsistencies in your naming scheme and - if needed - help you enforce a desired coding style.
elixir  programming  analysis 
23 hours ago by casey.chow
Data science and deep learning in retail - O'Reilly Media
The O’Reilly Data Show Podcast: Jeremy Stanley on hiring and leading machine learning engineers to build world-class data products.

In this episode of the Data Show, I spoke with Jeremy Stanley, VP of data science at Instacart, a popular grocery delivery service that is expanding rapidly. As Stanley describes it, Instacart operates a four-sided marketplace comprised of retail stores, products within the stores, shoppers assigned to the stores, and customers who order from Instacart. The objective is to get fresh groceries from popular retailers delivered to customers in a timely fashion. Instacart’s goals land them in the center of the many opportunities and challenges involved in building high-impact data products.

Continue reading Data science and deep learning in retail.
tech  O'Reilly  Radar  -  Insight  analysis  and  research  about  emerging  technologies 
yesterday by zhumink
Huawei missed memo that PC's dead – so here are three new notebooks • The Register
- interesting move for a company whose chairman said that they have to increase margins, model specs also interesting - looks like an attempt to try and surround Apple - it is more important 5 iterations from now
business  china  totwitter  huawei  analysis 
yesterday by renaissancechambara
Hitachi exits mainframe hardware but will collab with IBM on z Systems • The Register
- end of an era, I wonder what this will mean for Hitachi Data System's storage business over time?
bigiron  analysis  totwitter  business  enterprise 
yesterday by renaissancechambara

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