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K. J. R. @kjr@qoto.org

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Andrew Ng’s Machine Learning Course in Python (Support Vector Machines)

bit.ly/2FaakCD

Andrew Ng’s Machine Learning Course in Python (Support Vector Machines)

bit.ly/2FaakCD

Andreessen Horowitz, Five Tech Trends to Follow in 2019
bit.ly/2F2nj9i

Overlooked No More: Karen Sparck Jones, Who Established the Basis for Search Engines

A pioneer of computer science for work combining statistics and linguistics, and an advocate for women in the field.
nyti.ms/2GQCGTW

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RT @nywolforg@twitter.com

For wolves, playtime isn’t only fun, it strengthens family bonds + reaffirms social status within the pack.
When seeking to play, wolves will dance + bow playfully. Playtime can also include a game of chase, jaw sparring, + varied vocalizations.

I'm not sure about the realist use cases for data scientists and small companies, since often the use of RL can be more resource intensive than its benefits. But it is a possible trend to look at.
"Reinforcement Learning Will Be 2019's Biggest Trend In Data Science"
bit.ly/2RjFaOQ

The 10 Deep Learning Methods AI Practitioners Need to Apply

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Starting the preparations for a possible new challenge... and the back end looks interesting. I'm curious about the best ways to connect Cassandra to machine learning frameworks.
"Top 5 reasons to use the Apache Cassandra Database"
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Machine Learning Yearning A Revolutionary Book From Andrew Ng

bit.ly/2rMyBpD

Almost impossible to find available annotated corpora for aspect based sentiment analysis... If somebody can recommend someting... I will be thankful.

I have the feeling that after the first hype is has lost momentum as concurrent to in Data Science.
It is difficult, regardless how good is the language, to compete with a established programing language like Python with a broad community and lots of good open source libraries.
Anyway, an article with the opposite opinion: "Julia vs. Python: Julia language rises for data science"

bit.ly/2MqokbG

More consumers turn away from Apple in
An increasing number of Korean consumers are turning their backs on Apple based on the notion that iPhones offer a limited scope of functions in addition to the inconvenience of the iOS operating system, while continues to maintain its high price policy.
bit.ly/2Lruybn

Archives and modern mythology: The use of archival records in comic books
bit.ly/2TWNHWj

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@alan I also feel the same way. My issue is the interpretability of DL models. Especially, when developed by people who lack knowledge in some basic ML concepts. This has frustrated me enough that I started a movement around what I call Shallow Learning. Most of what people think they need a DL model for, could easily be a good fit for logistic regression or some simple decision tree logic.

Will Bots Really Replace the Human Customer Support Role? bit.ly/2LiT66g

Linear Regression Vs Logistic Regression - a basic and nice article

bit.ly/2EswfV8

5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read
Artificial Intelligence – specifically machine learning and deep learning – was everywhere in 2018 and don’t expect the hype to die down over the next 12 months.

bit.ly/2zKzm7b

How to Master the Art of Freelancing | The Startup Magazine

Freelancing is becoming increasingly popular around the world. bit.ly/2EeKCwk
qoto.org/media/xO47ereGkx4UnCe

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מעצר של בכירה בחברת וואווי מאיים לחדש את המלחמה הכלכלית בין סין וארה”ב
bit.ly/2SH2IdH

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