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@Surasanji @SecondJon
As Dave said "The vaccines work best when everyone takes them and there is a herd immunity."
That is the best practice.

@Surasanji @SecondJon what I know about it is that, at least for some diseases, there is a low % of people for which the vaccine doesn't work. Causes might be different, I know the case of Hepatitis A and B, in one case after the first attempt the patient made a test and the result was that no antibody had been produced. After the second vaccination attempt the vaccine worked only for Hepatitis A, but not B. Only one case between more than 100 people in this clinic.
I suppose that for other diseases it can be similar.

@Surasanji The anti-waxxers are a real epidemic. What you see in Israel now I know very well from European countries like Italy or Germany. Just here the repercussion in the media is higher, probably because of the size of the country. Thanks a lot Christoph, what is ANEW?

Machine Learning Yearning A Revolutionary Book From Andrew Ng

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"

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.

Archives and modern mythology: The use of archival records in comic books

In some áreas of NLP I'm not really impressed. I have see good results if sequencial models in Sentiment Detection, convolutional in Named Entity Extraction, or some DL approaches in text classification... but with not a lit of effort I was able to improve them just with Logistic Regression (for sentiment), CRF for entities or SVM for classification.
In other NLP areas like dialogue models or machine translation DL is offering better results.

K. J. R. boosted

@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.

@arjen Hey Arjen, yes, I know. Just I prefer to use for other reasons. cheers!!

Will Bots Really Replace the Human Customer Support Role?

Linear Regression Vs Logistic Regression - a basic and nice article

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.

How to Master the Art of Freelancing | The Startup Magazine

Freelancing is becoming increasingly popular around the world.

K. J. R. boosted

מעצר של בכירה בחברת וואווי מאיים לחדש את המלחמה הכלכלית בין סין וארה”ב

K. J. R. boosted
K. J. R. boosted

I am really disappointed with the results of the sentiment analysis of the Google Cloud NLP.
It is really expensive, and the results are not really better than what we get with tools like TextBlob.

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