Rabu, 25 Juni 2014

[Z352.Ebook] Ebook Free Collide (Cosmic Soul Mates Book 4), by Jeanette Lynn

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Collide (Cosmic Soul Mates Book 4), by Jeanette Lynn

You never know what kind of surprises life's going to throw at you, some for the better, some for the worse. If you asked Kertt Vaughn, he'd go with the latter. The surprises just keep adding up, and the Rellian/Amarillan/human hybrid can't seem to get with it. The biggest surprise of all? His fated mate.
The abrasive, feisty female he finds himself saddled with isn't exactly what he'd envisioned when he pictured himself finding his soul mate.
His mate, it seems, isn't all that impressed with him either, and with her blunt manner and speech lets him know just that.
Was there a mix up somehow? Could the fates really be so cruel?
The universe must have it out for the green male as he and his mate are tossed together, a kind of cosmic kismet, forcing them to take a good, long look at what could be.
More is at play than what it seems, and only time will tell. Will Kertt ultimately decide to keep and claim his female? Or will he decide it's for the best and let her go? The stars will align and the moons will shine as they these two stumble and curse their way to their final destination. 'Til death do us part has never seemed so literal until you throw a Quintchauk in the the mix.

Reader Advisory: This book contains explicit sexual content, plenty of cursing, mild violence, stupidity and silliness- so beware, and plenty of people popping in from your favorite previous books to say, "What's up."

  • Sales Rank: #123455 in eBooks
  • Published on: 2015-06-23
  • Released on: 2015-06-23
  • Format: Kindle eBook

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4 of 4 people found the following review helpful.
I love this author and this series
By me
I love this author and this series. However this one was at times hard to follow. If you haven't read the others do not try to read this one. Second half of the story had so many different perspectives from so many different characters from all the previous novels that you would be extremely confused and unable to follow. Overall, its a good story with good characters that tug at your feelings, but she tries to fit so much of the past characters into the story that you tend to get overwhelmed and have to go back a page or two to reread and try to figure out what each character is responding to. I think she tried to fit too much into this story to tie it to the past ones and ended up loosing the main characters a little in the end. If you have read the others then maybe you can follow it better than I did.

3 of 3 people found the following review helpful.
Good, but sometimes a bit hard to follow
By Babs
I have enjoyed the whole series, and I love the underlying sense of humor and whimsy. I do feel like there may have been a little too much going on with the various POVs. It would have been better to stick with the two main characters, I was confused at times and it pulled me out of the story trying to sort things out.

3 of 4 people found the following review helpful.
Not my Fav
By lalabean
I want start this review off on a positive note. I am a big fan of this writer and have all her books that being said this was my least favorite of all her books. I was a little hesitant to get this book because it was about Kert but I got it regardless. I love the way she made me adore Kert, his character had so many layers which made him lovable. Kisme however the character wasn't as lovable and I know she was going for the whole opposite attract ... tough girl sweet guy but i think she missed the mark. The story was ok but as the other reviews noted, there where to many points of views, to many side stories at times it was so confusing that i had to re-read two or three times and I still felt like I was missing something. I also felt that there was'nt enough focus at the couple and their relationship. Not to mention the whole relationship with Kert and his mother. She came off rather selfish in a way and a bit unlikable, so did Dar's dad. I mean really the mom moves in with her boyfriend keeps it a secret for two months and pretends to live with Kert as has sex at her adults sons house on his furniture. Its bad enough finding you parents doing that but a boyfriend and in your house and the mom acts all hurt. Yes Kert might be a mom's boy but she made him that way not to mention that is that issues where he felt the need to protect his mother because of past abuse. So she let's her boyfriend call the shot and cuts off communication. am I the only one who see that as weird... There is more that the mom does but for some who has a close relationship with her son she sure kicks him to the curb quick.. I know there is so many i can say about this book but the many point it is a very confusing story. I wouldn't recommend this story but if its your first time reading this author I would try any of the others stories.

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  • Sales Rank: #6326660 in Books
  • Published on: 1600
  • Binding: Hardcover

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Senin, 23 Juni 2014

[K747.Ebook] Download Ebook MADAME BUTTERFLY One Fine Day (Sheet Music), by G. Puccini

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MADAME BUTTERFLY One Fine Day (Sheet Music), by G. Puccini

  • Sales Rank: #4453363 in Books
  • Published on: 1904
  • Binding: Sheet music
  • 7 pages

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0 of 0 people found the following review helpful.
and this is one of the defining songs of great opera. The story is about an American sailor
By Bruce A. Smith
There are two stereotypes of opera, first, the Viking heifer holding the spear, and second, some form of high brow music. Instead, how about, its just music, in a different style. Opera is defined by its music, and this is one of the defining songs of great opera. The story is about an American sailor, a Japanese woman, written by an Italian. You don get much more global than that. "One Fine Day" is so beautiful it is almost painful, and it is its own signature piece. I don't thing that there is a bad cover, but my favorite is by the Diva Maria Callas.

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Senin, 09 Juni 2014

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Douce nuit étoilée… Ben engage Vinnie pour qu’il fasse son portrait, afin de passer plus de temps avec l’artiste. Durant la séance, au cours de la soirée, Vinnie peint un ciel nocturne sur la poitrine de Ben… et ils s’embrassent. Ils commencent une relation sous la nuit étoilée, la propre toile de Dieu. Mais chaque relation connaît des hauts et des bas, tout comme la leur. Quand Ben pense que Vinnie passe trop de temps avec un autre artiste, sa jalousie crée un fossé entre eux et pousse Vinnie vers quelque chose que Ben redoute. Accrochez-vous à vos rêves… Ben et Vinnie devront traverser des moments difficiles avant de pouvoir retrouver l’autre à nouveau. Mais s’ils y croient et s’ils gardent leur foi dans le ciel étoilé et dans l’autre, alors, peut-être qu’ils pourront transformer leurs rêves d’amour en réalité.

  • Sales Rank: #9056728 in Books
  • Published on: 2015-11-10
  • Original language: French
  • Dimensions: 9.00" h x .65" w x 6.00" l,
  • Binding: Paperback
  • 288 pages

About the Author
Lily G. Blunt writes contemporary gay erotic romance. She loves to explore the relationship between two men and the intensity of their physical and emotional attraction. Angst often features in her stories as she feels this demonstrates the depth of the men's feelings for each other. Lily is forever writing imaginary scenes and plots in her head, but only a few ever make it to the page--there never seems to be enough hours in the day despite having left the teaching profession to concentrate on her writing! Lily discovered the wonderful world of m/m romance novels five years ago via fan fiction and went on to write stories in her spare time. With the encouragement of her friends and readers she decided to publish some of her work. Lily subsequently self-published several stories via Amazon. She later published short stories with Torquere Press and Wayward Ink Publishing. Lily is excited about joining Pride Publishing for her upcoming story, The Handyman Can. Lily is an avid supporter of GLBTQ rights and advocates equality for all. She was recently a steward for Pride in London.

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0 of 0 people found the following review helpful.
L’auteure avec « peindre le ciel », nous raconte ...
By Plum Kréole (En Mâle de Chroniques)
L’auteure avec « peindre le ciel », nous raconte avec une douceur infinie, malgré toute la mélancolie et la douleur parsemées au fil des pages, une histoire d’amour où les deux héros « Ben et Vinnie », deux jeunes hommes cabossés par la vie, vont s’aimer à s’en perdre …
Tout commence par une rencontre provoquée par Ben, qui est déjà en secret très attiré par Vinnie. Ce qu’il ignore c’est que de son côté, Vinnie craque aussi pour lui et ce depuis quelques mois déjà.
Ils vont apprendre à s’aimer, se découvrir tout en douceur. Même si Ben est plus entreprenant, pressant, Vinnie quant à lui, veut prendre son temps.
L’amour va devenir puissant, fusionnel, passionnel … mais à force de secret, de non-dit, de jalousie, tout vol en éclat…
Commence alors, le mal de l’autre, la solitude, la quête de soi et de l’autre, l’angoisse, se dire qu’on ne pourra plus aimer à nouveau …
Avec le soutien de ses amis, de la famille de Vinnie, Ben va se battre, s’accrocher et reprendre en douceur la place qu’il n’aurait jamais du laisser filer, celle qui est la sienne « au côté de Vinnie ».
Mais sauront-ils cette fois, se construire un amour fait d’acception de soi, de l’autre, de confiance …
Voilà donc un roman très tendre, très doux, débordant d’amour, de tristesse délivrée au fil des mots. On s’attache très vite aux personnages. Chacun à leur façon ont su me toucher.
Deux petits bémols : il y a peut-être un peu trop de sexe (j’ai eu la sensation que Ben était parfois un homme en rut, qu’il ne pensait qu’à cela… l’histoire est tellement belle et bien écrite, que je trouve cela légèrement grossier et inutile) et trop de je t’aime (cela rendait le récit parfois niaiseux…. L’amour est tellement présent dans les gestes, les regards, les mots …. Qu’il n’y avait pas pour ma part besoin qu’ils se disent si souvent « Je t’aime »)

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Senin, 02 Juni 2014

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Machine Learning: A Bayesian and Optimization Perspective (.Net Developers) 1st edition



Machine Learning: A Bayesian and Optimization Perspective (.Net Developers) 1st edition

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Machine Learning: A Bayesian and Optimization Perspective (.Net Developers) 1st edition

  • Published on: 1709
  • Binding: Hardcover

Most helpful customer reviews

12 of 13 people found the following review helpful.
It is a great book!
By Paulo S. R. Diniz
It is a great book!!! It covers a wide range of subjects related to machine leaning not found in other books. It is well written and includes detailed reference list in each subject matter. The book should be useful for practitioners, graduate students and academics. I am glad I bought it.

7 of 8 people found the following review helpful.
Great Book!!! A Machine Learning must....
By Andres Mendez
As a practitioner of Machine Learning, I am so amassed about Theodoridis' abilities to deliver fresh and precise content about the so fast evolving field of Machine Learning. This book is a must on the shelves of anybody calling herself or himself a data scientist. Sections like the ones about sparse data, Learning Kernels, Bayesian Non-Parametric Models, Probabilistic Graphical Models and Deep Learning make of this book a forefront reference on a field that is transforming the world.

20 of 24 people found the following review helpful.
Good but may be hard to follow
By Andrei
I'm still looking for a "perfect machine learning theory book": the one which is a pleasure to read and that covers most of concepts you see here and there all the time but always wanted to know how exactly they work: log-linear, maximum likelihood, MAP, least squares and MLS, expectation maximization, stochastic gradient descent, CRFs, mixtures of gaussian, and many others. I would like that the book explain to me why should I use this model or algorithm, why previous one would not be good? And I would like that the author take the time to carefully guide the reader throughout the theory, without leaving him alone with a bunch of matrix equations or integrals like if they were evident.

I'm not a novice in the AI: I have a PhD (not in the theoretical Machine Learning though) and several years of practical experience with the algorithms. But most of the time I use the algorithms and models like blackboxes. My goal, however, is not only be able to use the algorithms and know where and how each algorithm can be used, but really understand the math that drives each them.

Unfortunately, this is not the book that can help me with my goal. In the beginning of each chapter the author really tries to move slowly with a care to details, but very fast the math becomes the only language used on the page. If, in the middle of a section you didn't understand how equation 12 follows from equation 11, your only option is to skip the remainder of the section and this is very frustrating.

As an example, when presenting the "central limit theorem", the author writes "Consider N mutually independent random variables, each following its own distribution with mean values ... and variances ... Define a new random variable **as their sum**: ... Then the mean and variance of the new variable are given by...". Here, or before, no definition of a **sum of two random variables** was presented. But this is very important to understand, because later, for example, in the "Linear Regression" section of Chapter 3, the author writes "If we model the system as a linear combiner, the dependence relationship is written as: " (a linear combination of several random variables follows). What does this mean: a linear combination of ***random variables***? How is this related to the central limit theorem which says that by adding up several random variables, the resulting variable tends to have a gaussian distribution? Author, please don't hurry up, it's a book, not a NIPS paper!

Furthermore, the whole section "3.10.1 LINEAR REGRESSION: THE NONWHITE GAUSSIAN NOISE CASE" on page 84 cannot be directly understood from the text because the author does not explain how the joint log-likelihood function L(theta) for the model of y dependent on theta, x and nu can be constructed. The equation 3.57 gives the final expression for L(theta) but no clues on how to build it if we only have a linear model for y. I spent the whole evening just to understand that to build the joint log-likelihood function one has to transform the y = theta*x + nu into the expression p(y=yn | x=xn, theta, nu) and in order to obtain one such expression for each yn, one has to write p(y=yn | x=xn, theta, nu) = sum_k p(xn*theta=k)p(nu=yn - xn*theta). Then, the joint log likelihood L(theta) can be obtained as ln p(y=y1 | x=x1, theta, nu) + ln p(y=y2 | x=x2, theta, nu) + ... + ln p(y=yn | x=xn, theta, nu).

The internet is full of information on the subject of machine learning. Almost every subject is already explained by multiple sources. The problem with the information of the Web is that it is dispersed and often incomplete. If one decides to write a book on this subject, it has to be complete and self-contained. With this book, unfortunately, one still has to google, decrypt and guess things just too often to call the reading process a pleasure.

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