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2. S.W.A.T. (2017 TV series) - Wikipedia

   en.wikipedia.org/wiki/S.W.A.T._(2017_TV_series)

   S.W.A.T. is an American police procedural action drama television series, based on the 1975 television series and the 2003 film adaptation of the same name. Aaron Rahsaan Thomas and Shawn Ryan developed the new series, [ 1 ] which premiered on CBS on November 2, 2017, [ 2 ] and is produced by Original Film , CBS Studios and Sony Pictures ...

3. The Perfect Couple (TV series) - Wikipedia

   en.wikipedia.org/wiki/The_Perfect_Couple_(TV_series)

   The Perfect Couple is an American mystery drama miniseries starring an ensemble cast, including Nicole Kidman, Liev Schreiber, Eve Hewson, and Dakota Fanning. [2] It is an adaptation of the 2018 novel of the same name by Elin Hilderbrand, and is about a murder that takes place during a lavish wedding.

4. It Ends with Us - Wikipedia

   en.wikipedia.org/wiki/It_Ends_with_Us

   It Ends with Us is a romance novel by Colleen Hoover, published by Atria Books on August 2, 2016. Based on the relationship between her mother and father, Hoover described it as "the hardest book I've ever written".

5. Leave the World Behind (film) - Wikipedia

   en.wikipedia.org/wiki/Leave_the_World_Behind_(film)

   Leave the World Behind is a 2023 American apocalyptic psychological thriller film written and directed by Sam Esmail.It is based on the 2020 novel by Rumaan Alam.The film stars Julia Roberts, Mahershala Ali, Ethan Hawke, Myha'la Herrold, and Kevin Bacon as they try to make sense of a rapid breakdown in phones, television, and other common technology which points to a potential cataclysm.

6. Microsoft Product Activation - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Product_Activation

   The Activation Wizard in Windows XP. Microsoft Product Activation is a DRM technology used by Microsoft Corporation in several of its computer software programs, most notably its Windows operating system and its Office productivity suite.

7. t-distributed stochastic neighbor embedding - Wikipedia

   en.wikipedia.org/wiki/T-distributed_stochastic...

   t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map. It is based on Stochastic Neighbor Embedding originally developed by Geoffrey Hinton and Sam Roweis, [ 1 ] where Laurens van der Maaten and Hinton proposed the t ...