Rabu, 27 November 2013

Ebook Free , by Harule Stokes

Ebook Free , by Harule Stokes

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Product details

File Size: 1012 KB

Print Length: 578 pages

Simultaneous Device Usage: Unlimited

Publisher: Wave One Publishing (January 14, 2014)

Publication Date: January 14, 2014

Sold by: Amazon Digital Services LLC

Language: English

ASIN: B00DN63JFQ

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Amazon Best Sellers Rank:

#484,147 Paid in Kindle Store (See Top 100 Paid in Kindle Store)

This is an interesting book. A eclectic mix of science fiction, fantasy, romance and mystery. Very well done. It takes a minute to get into the story and I would strongly recommend reading Harule's Stokes' second novel, Fallen Sun, before you read Sectors. Things will make much more sense if you do, as it is definitely a prequel to this book even though it was written after Sectors was published. Great characters, vivid descriptive scenery, not an unending amount of action but plenty to keep everything interesting, strongly defined characters. Couple of complaints, characters do get forgotten about, whatever became of Jennifer and Ethel; why was Joseph's best friend killed and who killed him, etc. So a few unnecessary loose ends in a 500 page novel, that better editing maybe could had prevented. Strongly recommend this book, it was good; just make sure you read Fallen Sun first. Stokes is an excellent writer and storyteller, looking forward to more books from him.

Here's the thing. I am 90 pages into this book now, and I still know very little about the characters, their motivations, the back story or anything else that is going on in the book. I have no idea what is meant by the frequently used terms Keynosian, Southie, Fallen, Nextgen or Sectors. I feel like my Kindle skipped the beginning of the story and dumped me right into the third or fourth chapter.There's no snappy dialog, no (or slow) plot progress and not enough character development to make me care about anyone in the story. I have read nothing so far that makes me want to continue plodding along with this one, so I'm outta here. I'm giving this book two stars, only because I think it might be a bit harsh to assign one star to a book that I didn't even finish.

There is much associated with the term Science-fiction. Recently when mentioning that genre of fiction, the expectation is of concepts related to what would become big explosive special effects in film... impossible action sequences... unbelievable exotic gadgets... more often then not set in a dystopian future.This book was different. It was all story.The settings, the gadgetry all melted away into an escape into the coming of age story of Joseph, an extraordinary young man, with an all too human psychology.It took me back years to my early adulthood, and then carried me into a strange, yet familiar place.I can not tell you why, I related to it that much but I did... and what Joseph went through, I felt.By the end of it I felt like I, more than he, had grown.What an accomplishment for a writer.It was more than I expected, more than I have gotten used to.Thank you, Mr. Stokes... I am now a fan.

Should be a New York Times #1, Washington post, la times, oprah book club best seller. This series, this world that stokes has created is phenomenal. This is a classic. Will be as good 100 years from now, as it is today. If, when I hit lottery, I will be purchasing the rights to these books. Wow, I am re-reading both sectors and fallen sun. I eagerly await the next book in this rich and complex world.

This was the Story I wanted The Characters, the Cultural differences between the Alliance & The Keynosian's as well as filling in some Blanks from Fallen Sun. These books together make an Incredible story. Glad I read them. Can't wait to read more from this Author & hopefully more from this world.

Looking forward to the next book (hopefully there is another). Loved the book, the character interplay and the attention to detail regarding the Keynosian culture. The distinction in geography between Northern Alliance and Keynosa was well depicted. Each character was distinct and well developed and the growth of Joseph was believable and hard not to relate. I really came to know the characters and like them a great deal. I was a little sad when the story ended. Even though the story began slow, it still held my interests, from incidents like the party when Joseph was dancing with Jennifer, discovering how awful she danced, and his moments with friend Zek were funny, too. I have had friends like Zek. David's character was really cool and really dug how he was written and Saptal was all sorts of sexy in my mind. Her intelligence, demeanor, and overall style, plus she can fight!! The Gathering was a nice touch as well... I could go on with the things I like about the story but I will stop it here. Great job and looking forward to more books from Mr. Harule Stokes.

Awesome characters. This book is a nice consistent read. Not fast paced but I couldn't put it down. When it ended I kept wanting there to be more.

Great characters that are well described and believable. I particularly enjoyed the way the main characters thoughts were conveyed as well as the conversations he had with other characters. This book had a bit of everything. Greed, deception, family values, as well as race conflicts and fears. Overall it tells a story of doing the right thing against all odds. Take a journey to the Sectors. I'm glad I did.

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Sabtu, 16 November 2013

Ebook Download Puerto Vallarta Walking Map: Centro & South Coast

Ebook Download Puerto Vallarta Walking Map: Centro & South Coast

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Puerto Vallarta Walking Map: Centro & South Coast

Puerto Vallarta Walking Map: Centro & South Coast


Puerto Vallarta Walking Map: Centro & South Coast


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Puerto Vallarta Walking Map: Centro & South Coast

Current prints freshly updated for winter 2019. Don't explore Puerto Vallarta without the most detailed, pedestrian-friendly maps available. This edition covers Puerto Vallarta's Old City, including the Malecon, arts district, Gringo Gulch, Zona Romantica, Olas Altas and Los Muertos beach and pier. Side B offers the clearest, most readable map available of Conchas Chinas' hilly winding roads, as well as public beach accesses, hotels and condos along the shore south to Los Arcos National Park. At a compact folded size of 5 x 7 inches, it is easy to peruse while on foot or behind the wheel. Full (unfolded) size is 14 x 20 inches. Mapa Jeff maps are the work of one author/artist with a professional journalism and editorial background. The product of a long-term residence, extensive exploration and research, and frequent, careful updating, they carry no advertising, have no paid placements, and have no agenda other than to provide the most thorough and legible portrait of the landscape. They are printed in small batches and updated frequently. Availability is limited in Mexico - best to have one in your bag when you fly. Orders are filled and mailed on the day they are received. Delivery is by US post, normally in 3 business days. All Mapa Jeff maps are viewable on any device at www.mapajeff.com.

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Product details

Series: Folded Portable Maps (Book 2)

Map: 2 pages

Publisher: Mapa Jeff Cartography (2015)

Language: English

ASIN: B0172YVRYO

Package Dimensions:

9 x 7 x 0.2 inches

Shipping Weight: 1.4 ounces

Average Customer Review:

4.1 out of 5 stars

7 customer reviews

Amazon Best Sellers Rank:

#1,204,009 in Books (See Top 100 in Books)

I have been to PV before but it had been several years. I found this map to be very helpful locating points of interests, walking stairs and streets. If you are going to be in the Central district I'd recommend getting one.

This is a beautifully illustrated map of Puerto Vallarta. It is very well-researched. This is a must-have.

I am spending eight weeks in Puerto Vallarta. After nearly three, this map has been my faithful companion, showing me clearly where I want to go and where I have been. It even shows the stairs that I go down.

Great map!

gets you around pretty easy

Found this unreadable. and left it at home -- a waste of $

A friend suggested that I get this map to help me navigate my way around Puerto Vallarta on my upcoming trip. I am SOOO happy that I did. It arrived in a clean, clear plastic envelope quickly after I ordered it. To my delight it is artistic, well planned, easy to read and very eye friendly colorful. On the front are the areas of Amapas and Conchas Chinas in one spot, then Costa Sur and Southcoast below it. Overviews of those areas. On the back are the streets and Walking Map of the Old City with Stairways and Paths easily read. The map is printed on sturdy paper too which means it won't get shredded in my purse or through use. I think this map is amazing and far superior to the cheap handouts some hotels offer.

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Minggu, 10 November 2013

Ebook Diving & Snorkeling Honduras' Bay Islands

Ebook Diving & Snorkeling Honduras' Bay Islands

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Diving & Snorkeling Honduras' Bay Islands

Diving & Snorkeling Honduras' Bay Islands


Diving & Snorkeling Honduras' Bay Islands


Ebook Diving & Snorkeling Honduras' Bay Islands

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Diving & Snorkeling Honduras' Bay Islands

Review

...for the adventurous traveler who wants to live like a native.' --Real Simple Magazine, June 2005

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Product details

Paperback: 136 pages

Publisher: Lonely Planet (March 1, 2002)

Language: English

ISBN-10: 1740590589

ISBN-13: 978-1740590587

Product Dimensions:

6 x 0.5 x 9 inches

Shipping Weight: 11.2 ounces (View shipping rates and policies)

Average Customer Review:

3.7 out of 5 stars

7 customer reviews

Amazon Best Sellers Rank:

#1,382,421 in Books (See Top 100 in Books)

This book delivers what it promises. It offers a complete evaluation of all the dive/snorkel sites in the Bay Islands - what features each site possesses and what fish. As a snorkeler, I appreciated the detail about which areas are ideal for snorkeling and which can be accessed by the shore. The book does not go into detail about the operators, which is fine by me. Also, you still might want to invest in a regular travel guide for the rest of Honduras. But it bears repeating that this book is exceptionally complete in covering all the diving spots off the northern coast of Honduras. If you plan to do any diving at all, I wouldn't be without it.

Much nicer than the 1993 Pisces Books by Collins which I would rate as poor. It covers many sites on each of the Bay Islands including shore access and snorkel sites. Useful guide.

Well organized, lots of detail and photos. It is >10 years old, but I'm not sure if it matters. I'll find out in August when I go to Honduras and use it!

Excellent guide and in great condition for being used. Fast shipment. Thank you!

Not enough topographical plan.And i don't think there is enough information about difficulties and what we can see in each dive.

Still, It's nice to get all the info in one publication. Some outdated info, nice pics. does cover all three main islands.

I live in Utila in the Bay Islands in Honduras and i see many people arriving with this book in their hand and all of them tell me that they use it all of the time and it is an invaluable source of information.I myself have seen it and read it i would say that it is the best travel guide on Honduras it gives you all the information you will need.Steve[...]

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Kamis, 07 November 2013

Get Free Ebook Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)


Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)


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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Review

This comprehensive book should be of great interest to learners and practitioners in the field of machine learning.―British Computer Society

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Review

An astonishing machine learning book: intuitive, full of examples, fun to read but still comprehensive, strong and deep! A great starting point for any university student―and a must have for anybody in the field.―Jan Peters, Darmstadt University of Technology; Max-Planck Institute for Intelligent SystemsKevin Murphy excels at unraveling the complexities of machine learning methods while motivating the reader with a stream of illustrated examples and real world case studies. The accompanying software package includes source code for many of the figures, making it both easy and very tempting to dive in and explore these methods for yourself. A must-buy for anyone interested in machine learning or curious about how to extract useful knowledge from big data.―John Winn, Microsoft Research, CambridgeThis is a wonderful book that starts with basic topics in statistical modeling, culminating in the most advanced topics. It provides both the theoretical foundations of probabilistic machine learning as well as practical tools, in the form of Matlab code.The book should be on the shelf of any student interested in the topic, and any practitioner working in the field.―Yoram Singer, Google Inc.This book will be an essential reference for practitioners of modern machine learning. It covers the basic concepts needed to understand the field as whole, and the powerful modern methods that build on those concepts. In Machine Learning, the language of probability and statistics reveals important connections between seemingly disparate algorithms and strategies.Thus, its readers will become articulate in a holistic view of the state-of-the-art and poised to build the next generation of machine learning algorithms.―David Blei, Princeton University

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Product details

Series: Adaptive Computation and Machine Learning series

Hardcover: 1104 pages

Publisher: The MIT Press; 1 edition (August 24, 2012)

Language: English

ISBN-10: 0262018020

ISBN-13: 978-0262018029

Product Dimensions:

8 x 1.6 x 9 inches

Shipping Weight: 4.3 pounds (View shipping rates and policies)

Average Customer Review:

4.1 out of 5 stars

96 customer reviews

Amazon Best Sellers Rank:

#22,772 in Books (See Top 100 in Books)

In a nutshell, the value of reading Murphy's Machine Learning highly depends on what you expect to get out of it.------------------As a graduate student who had read a descent number of papers in the field, I feel very conflicted about this textbook.------------------If you expect to teach yourself machine learning from this textbook, this is in my opinion almost surely *not* the textbook to get. (0/5 Stars)-The content of the textbook is highly disorganized. Future chapters are constantly referenced in the text (as if you have already read them!). Perplexingly, meaningful explanations of concepts are often delayed by multiple chapters. (Ex. BIC is introduced in Ch.6 but a mathematical justification is provided only in Ch. 8 when the mathematical justification could have (and should have) been in Ch. 6).-A number of topics are merely mentioned (like VC dimension) but not actually discussed at any reasonable length, making some sections of the textbook meaningless.-I would instead recommend the related (but different) text Introduction to Statistical Learning with Applications in R as it is quite accessible.-----------However, if you are an instructor and wish to use this textbook as a supplement to a course or are a researcher then Murphy's Machine Learning is in my opinion could be a worthwhile purchase. (4/5 stars)-The examples, references and illustrations give the textbook a particularly nice touch. (I particularly enjoyed the example of calculating the posterior probability of user ratings of two different items on Amazon).In summary, if you are an instructor that wants their students to learn how to read challenging exposition to prepare them for reading research papers in the field or if you wish to use this as a reference, then this is a good choice. Otherwise, pass.

(Disclaimer: I have worked with a draft of the book and been allowed to use the instructor's review copy for this review. I have bought the book from Amazon.co.uk, but apparently this Amazon.com review can't be tagged "verified purchase". I don't receive any compensation whatsoever for writing this review. I hope it will help you chose a machine learning textbook.)Similar textbooks on statistical/probabilistic machine learning (links to book websites, not Amazon pages):- Barber's Bayesian Reasoning and Machine Learning ("BRML", Cambridge University Press 2012)- Koller and Friedman's Probabilistic Graphical Models ("PGM", MIT Press 2009)- Bishop's Pattern Recognition and Machine Learning ("PRML", Springer 2006)- MacKay's Information Theory, Inference and Learning Algorithms ("ITILA", CUP 2003)- Hastie, Tibshirani and Friedman's Elements of Statistical Learning ("ESL", Springer 2009)* Perspective: My perspective is that of a machine learning researcher and student, who has used these books for reference and study, but not as classroom textbooks.* Audience/prerequisites: they are comparable among all the textbooks mentioned. BRML has lower expected commitment and specialization, PGM requires more scrupulous reading. The books differ in their topics and disciplinary approach, some more statistical (ESL), some more Bayesian (PRML, ITILA), some focused on graphical models (PGM, BRML). K Murphy compares MLAPP to others here. For detailed coverage comparison, read the table of contents on the book websites.* Main strength: MLAPP stands out for covering more advanced and current research topics: there is a full chapter on Latent Dirichlet Allocation, learning to rank, L1 regularization, deep networks; in the basics, the decision theory part is quite thorough (e.g. will mention Jeffrey's/uninformative priors). The book is "open" and vivid, doesn't shy away from current research and advanced concepts. This seems to be purposeful, as it shows in many aspects:- quotes liberally from web sources, something usually not done in academic publications- borrows "the best" from other authors (always with permission and acknowledgment, of course): most importantly the best pictures and diagrams, but also tables, recaps, insightful diagrams. Whereas other books will produce their own pictures and diagrams themselves (eg, PRML has a distinctive clarity and style in its illustrations), MLAPP takes many of its colour illustrations from other people's publications; therefore it can select the most pithy and relevant pictures to make a point. You could think that reproductions may be illegible and require extra effort to interpret because they come from a variety of sources; I have found that the bonus coming from having precisely the right image prevails.- frequent references to the literature, mentions of extensions and open questions, as well as computational complexity considerations: for instance, the section on HMMs will mention duration modeling and variable-duration Markov models, and a comparison of the expressive power of hierarchical HMMs versus stochastic context-free grammars, complete with relevant citations, and a brief mention of the computational complexity results from the publications. All this connects the material with research and new ideas in a fine way -- which other textbooks don't achieve, I find. For instance, PGM defers references to a literature section at the end of each chapter, resulting in a more self-contained, but more poorly "linked" text.* Didactic aids: Another distinctive feature is that the author clearly has tried to include didactic aids gathered over the years, such as recaps, comparative tables, diagrams, much in the spirit of the "generative model of generative models" (Roweis and Ghahramani): e.g. table comparing all models discussed, pros and cons of generative vs. discriminative models, recap of operations on HMMs (smoothing, filtering etc), list of parameter estimation methods for CRFs.* Editorial features: Other editorial features worth mentioning are- compared to others, helpful mentions of terminology, e.g. jargon, nomenclature, concept names, in bold throughout the text ("you could also devise a variant thus; this is called so-and-so")- mathematical notation relatively clear and consistent, occasional obscurities. PGM stands out as excruciatingly precise on this aspect.- boxes/layout: no "skill boxes" or "case study boxes" (PGM), not many roadmap/difficulty indications like ITILA or PGM, examples are present but woven into the text (not separated like PGM or BRML). Layout rather plain and homogeneous, much like PRML.- sadly lacks list of figures and tables, but has index of code* Complete accompanying material:- interesting exercises (yet fewer than PRML, BRML, PGM); solutions, however, are only accessible to instructors (same with BRML, PGM), which in my experience makes them only half as useful for the self-learner. PRML and ITILA have some solutions online resp. in the book.- accompanying Matlab/Octave source code, which I found more readily usable than BRML's. PGM and PRML have no accompanying source code, even though the toolkit distributed with Koller's online PGM class might qualify as one. I find accompanying code a truly useful tool for learning; there's nothing like trying to implement an algorithm, checking your implementation against a reference, having boilerplate/utility code for the parts of the algorithm you're not interested in re-implementing. Also, code may clarify an algorithm, even when presented in pseudo-code. By the way, MLAPP has rather few pseudo-code boxes (like BRML or PRML, while PGM is very good here).- MLAPP is not freely available as a PDF (unlike BRML, closest topic-wise, ESL, or ITILA). This will no doubt reduce its diffusion. My own take on the underlying controversy is in favor of distributing the PDF: makes successful books widely popular and cited (think ITILA or Rasmussen and Williams' Gaussian Processes), increases the book's overall value, equips readers with a weightless copy to annotate with e-ink, or consult on the go. I believe PDF versions positively impact sales, too: impact neutral-to-positive to course textbook/university library sales, indifferent to sales in countries with widely different purchase power, positive to all other segments due to enormous diffusion/popularity.* Conclusion:The closest contender to this book I believe is BRML. Both are excellent textbooks and have accompanying source code.BRML is more accessible, has a free PDF version, and a stronger focus on graphical models.MLAPP has all the qualities of an excellent graduate textbook (unified presentation, valuable learning aids), and yet is unafraid of discussing detail points (e.g. omnipresent results on complexity), as well as advanced and research topics (LDA, L1 regularization).

I'm sure if you are a Google Research Scientist and are not learning the material for the first time, this book is amazing. For everyone else, I would not recommend it. I bought this book for my Fall 2013 COMPSCI 571 class, and I regret it. Before buying this book, consider the following:1. Take a look at the online Errata. This book is already in it's 3rd printing and it just came out. The list of corrections for this (the 3rd edition) is already mind-numbingly long. The 4th printing coming out this month will surely fix some errors, but there are just too many.2. Our class has an online forum (for a 100 person class) where we discuss topics, and most questions are either (a) basic topics from the book that no one understood or (b) talking about how one figure in the book has multiple errors associated with it. At first I was really excited to find mistakes and submit them to the Errata - it was like I was part of the book! Now I just get frustrated and have already given up on submitting corrections.3. Our instructor regrets using this book and modifies the examples before giving them to us in class. Our out of class readings now consist mostly of MetaAcademy.com.4. There are hardly any worked-through examples, and many of those that are worked through have errors.5. Many important concepts are skimmed over way too quickly. For example, there is a whole chapter on Logistic regression. However, Logistic regression is covered for exactly 2 pages. Then a weird 3D graph is presented but not explained (a common theme throughout the book is graphs that look absolutely amazing, but which convey little information as to exactly what's going on to a lay-person like me), then the rest of the chapter presents methods for doing the math, which I'm sure are useful in some sense, but I'm still thinking: "why is this MLE not in closed form, what is a Hessian doing here... and wtf is going on?!"Most students just got the PDF for free online, and I would highly suggest doing something other than paying $55 for this book.

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Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) PDF
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) PDF