Introduction of pop-up and spam mail ethics: In this world only two things, death and tax are confirmed. I do not agree. In my opinion, spam and pop-up advertisements can also be thrown there. In recent years spam and popups have become a way of life. People spend hundreds of hours searching for their email for spam and what they really want to see. It looks like any web page you are going to do, an animated / flashing popup window that will let you buy something will appear.
One of the biggest problems with email is spam. In order to set up the first line of defense, services such as Gmail use NLP to determine which email is valid and which is spam. These spam filters will scan the text in all received e-mails and attempt to understand the meaning to determine if the text is spam.
Precision shows that messages classified as spam are actually percentages of spam. This is the ratio of true positive (classified as spam and actually spam e-mail) to all positive (e-mail classified as all spam regardless of whether this is the correct categorization). In other words, it is the ratio of true positive / (true positive + false positive). Recall or sensitivity indicates that the actual percentage of spam is classified as spam. This is the ratio of words classified as spam for all words that are actually spam (actually classified as spam) (regardless of whether they were correctly classified). It is given by the formula - True Positive / (True Positive + False Negative)
E-mail Not so early, the spam filter was very bad and involved many false positives (legitimate e-mail blocked as spam) and false positives (spam was identified as legitimate e-mail). However, in recent years, I noticed that the spam filter is really accurate 3. This can be achieved by using a neural network. CRM customer relations management If you are engaged in all kinds of customer response tasks such as sales, marketing, investment banking, you can use CRM software to track all activities (phone, email, memo). CRM internally uses artificial intelligence to enhance profit, such as whether potential customers are likely to purchase, whether a particular "hot" keyword needs to be included to attract the buyer I will.
WTF is artificial intelligence, machine learning, and deep learning. Guide for Beginners (Bookmark ~)