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TheStark - Regression​ + ​Descent flac album

TheStark - Regression​ + ​Descent flac album Performer: TheStark
Title: Regression​ + ​Descent
Style: Ambient, Synthwave
Released: 2011
MP3 album: 1943 mb
FLAC album: 1666 mb
Rating: 4.6
Other formats: AU WAV DXD AAC MP2 VOX AIFF
Genre: Electronic

Award-winning, independently educated composer from Portland, Oregon, theStark (Damon Law) has been writing music for over 20 years. Made into regular rotation in my playlists the day I heard it. Great soundtrack stuff with a high quality finish! Seriously, this is great stuff. Original Motion Picture Soundtrack by PILOTPRIEST. This is another album that was inserted in my playlist the day I heard it - some really interesting work. Very listenable, well-produced and finely finished. Well worth your time. If you like theStark, you may also like: Sagittal Crest by Rufus Mule. featured on Bandcamp Weekly May 10, 2016. Legacy by Big Giant Circles

1. Regression+Descent.

Profile: Music for misanthropes, movies, and malcontents. TheStark ‎(16xFile, FLAC, Album, RM). Not On Label (TheStark Self-released).

The Descent is a 1999 science fiction/horror novel by American author Jeff Long. It describes the discovery and exploration of an extensive labyrinth of tunnels and passages stretching throughout the Earth's upper mantle, found to be inhabited by a malicious species of alternately-evolved troglofauna hominids.

Listen to music from theStark like Floating Away (Loft Mix), Sumba Child & more. Find the latest tracks, albums, and images from theStark. Nationally recognized as an award-winning composer, theStark (Damon Law) composes for Nicu’s Spoon Theater in New York City and for your pleasure. He lives in Portland, Oregon.

Logistic Regression¶. Comparison to linear regression. Types of logistic regression. Binary logistic regression. Mapping probabilities to classes. Multiclass logistic regression. Scikit-Learn example. Introduction ¶. Logistic regression is a classification algorithm used to assign observations to a discrete set of classes

Stochastic gradient descent (often abbreviated SGD) is an iterative method for optimizing an objective function with suitable smoothness properties (. differentiable or subdifferentiable). It is called stochastic because the method uses randomly selected (or shuffled) samples to evaluate the gradients, hence SGD can be regarded as a stochastic approximation of gradient descent optimization

In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can be modeled by a linear combination of unknown parameters. A Poisson regression model is sometimes known as a log-linear model, especially when used to model contingency tables.


1 Regression+Descent 7:25


  • Photography By, Design – Damon Law
  • Written-By, Recorded By, Engineer – Damon Law