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Unexpected insights that make you go: "Aha!"

Enhanced with clear background of the Baroque musical style

giddins champions eclecticism in jazzGiddins is catholic in his enthusiasms, but I was and continue to be more interested in the avant-garde. In addition to swing and bop players (including Monk, from whom he took his title), here are some of the players he writes about, mainly their recordings, but also some concerts: Cecil Taylor, Ornette Coleman, Ronald Shannon Jackson, James Blood Ulmer, the Art Ensemble of Chicago, Muhal Richard Abrams, James DeJohnette, Andrew Cyrille, James Newton, Anthony Davis, Arthur Blythe, David Murray, Steve Lacy and Roswell Rudd, the William Breuker Kollektief, and Alexander von Schlippenbach's Global Unity Orchestra.
He concludes a review of the "Young Lions" performance, including the 21-year-old Wynton Marsalis, at the 1982 Kool Jazz Festival in NYC with these prophetic lines: "My intuition tells me that innovation isn't this generation's fate...the neoclassicists have a task no less valuable than innovation: sustenance. [M]usicians such as Marsalis are needed to restore order, replenish melody, revitalize the beat, loot the tradition for whatever works, and expand the audience. That way we'll be all the hungrier for the next incursion of genuine avant-gardists..." (161) Of course "this generation" cannot be reduced to the neoclassical revivalists, but to the extent that they have dominated the jazz world since the mid-80s, Giddins had it right "on the money," in every sense of the word.
I've lost track of Giddens since this book. I hope he hasn't been swallowed up by the Marsalis/Lincoln Center repertory vision of jazz, which aims to turn it into a type of classical music with no future. Contrary to Marsalis, the living soul of jazz is creative improvisation, not ossified composition!


and the "other highlights" are...

Nice to see this classic back in print.Though this is a book primarily about jazz, it lives up to it's subtitle (Jazz and American Pop) by including chapters on Bing Crosby, Otis Blackwell, Bobby Blue Bland, the Dominoes, and Frank Sinatra, though Giddins gives fair warning in the old intro that they are studied from the viewpoint of a jazz critic. In fact, the chapter entitled "Just How Much Did Elvis Learn from Otis Blackwell?" is one of the most fascinating in the book as it attempts to uncover some of the tangled, subterranean back-and-forth influences between black and white music. The chapter on Red Rodney ("Adventures of the Red Arrow") is funny as hell and functions as an entertaining short story even if it is someday proved to be a Rodney-perpetrated hoax. I'm tempted to say that Giddins is particularly sound on Ellington, Count Basie, and Dexter Gordon, but then I would have to add that he also does well by trombonist Jack Teagarden, Irving Berlin, Ornette Coleman, Sonny Rollins, Dizzy Gillespie, and Charlie Parker... Though I hate to sound like a jacket blurb, the fact is that this truly is one of those rare collections in which every essay is a gem, both informative on first reading and a delight to reread. The only drawback is that Da Capo charges top dollar for their paperback reprints, but it's worth it. Giddins has written several other fine books over the years but there's something special about this one.


Running a Perfect BBS; Good information source.

Wonderful for little fingers

Great Encouragement for SinglesI found the book easy reading for all ages. It is a great tool to be used for teenage girls when they start to date.
It is great to know there are other singles struggling in the world.


just terrific

An obsession with noseless heads.
Architectures and Stability," approaches the field of recurrent neural networks from both a practical and a theoretical perspective. Starting from the fundamentals, where unexpected insights are offered even at the level of the dynamical richness of simple neurons, the authors describe many existing algorithms and gradually introduce novel ones. The latter are convicingly shown to yield better prediction performances than traditional approaches, when applied to real-world data. They also dedicate a considerable amount of time on the (practical) issue of nonlinearity analysis of time series, which is or should be, indeed, the cradle of all proper modelling and/or filtering solutions: nonlinearity should be assessed prior to choosing the appropriate model and/or filters, since linear ones are to be preferred if sufficient for the problem. I would recommend this book to any researcher who is active in the field of recurrent neural networks and time series analysis, but also to researchers who are new in the field, since the book offers an extensive overview of the current state-of-the-art approaches.