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#napierala #bestiazewschodu #ksiadznapierala

Pragnę powitać na tagu nowego brata – @getin, który zdążył już nas przekonać, że nadaje się, aby Go namaścić olejkami i przyjąć w szeregi Bractwa. Podobnie jak my, uważa, że ksiądz Napierała nie ma żadnych zalet. Zna na pamięć wszystkie prawa napieralizmu! Interesuje się geopolityka i ceni sobie zdanie dr. Jacka Bartosiaka. Dla nas to oczywiście żaden problem, ponieważ nie ma tu zamordyzmu. Rozgość się!
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@Zayatzz: Nagła zmiana na granicy Polski z Białorusią. W ciągu weekendu odnotowano setki prób nielegalnego forsowania polskiej zapory. Musiała interweniować Straż Graniczna. W sieci udostępniono również nagranie migrantów wyposażonych w drabinę, którzy zbliżają się do postawionego na granicy muru i atakują strażników.
Czytaj więcej na https://wydarzenia.interia.pl/kraj/news-nagly-zwrot-na-granicy-z-bialorusia-zapore-forsowalo-setki-m,nId,7397303#utm_source=paste&utm_medium=paste&utm_campaign=firefox
@Goatlord: @Zayatzz When you activate your communication, the mailing system begins to monitor the response of email providers and ISPs (Google, Yahoo, Microsoft, among others). When these servers start reporting Hard Bounces (non-existent mailboxes), our system measures the percentage of this type of response. Once a 14% rate is reached, an alarm called “SPAM WARNING” is triggered, which you can see in the reports of your communication. At this point, your
@Goatlord:
Spam Warning!
Be aware of the current spam phone call and email doing the rounds…

You may get a spam phone call from someone saying they are from BT warning that your Broadband services may be cut off within 24 hours unless you press the numbers as instructed. If you comply you could be charged a minimum of £100 for the call!

You could also receive an email from a
@Zayatzz: @Goatlord Have you ever wondered how a machine translates language? Or how voice assistants respond to questions? Or how mail gets automatically classified into spam or not spam?

All these tasks are done through Natural Language Processing (NLP), which processes text into useful insights that can be applied to future data. In the field of artificial intelligence, NLP is one of the most complex areas of research due to the
@Zayatzz: Let’s start with our spam detection data. We’ll be using the open-source Spambase dataset from the UCI machine learning repository, a dataset that contains 5569 emails, of which 745 are spam.

The target variable for this dataset is ‘spam’ in which a spam email is mapped to 1 and anything else is mapped to 0. The target variable can be thought of as what you are trying to predict. In
@Goatlord: This phase involves the deletion of words or characters that do not add value to the meaning of the text. Some of the standard cleaning steps are listed below:

Lowering case
Removal of special characters
Removal of stopwords
Removal of hyperlinks
Removal of numbers
Removal of whitespaces
@Zayatzz: This is another text processing technique that will help to treat words like ‘hurray’ and ‘hurray!’ in the same way.

def removespecialcharacters(word):
result=
word.translate(str.maketrans(dict.fromkeys(string.punctuation)))
return result