Download Ebook Dark Soul (Soulscape #1)By A.M. Snead

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Dark Soul (Soulscape #1)By A.M. Snead

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M/M EROTIC ROMANCE W/SUPERNATURAL ELEMENTS.

WARNING: EXPLICIT GAY SEXUAL SITUATIONS. DEPICTIONS OF CAPITAL PUNISHMENT. SOME VIOLENCE AND LANGUAGE.

When Dr. Frank Harlan, the head psychiatrist at Black Moon Asylum, took in six-year-old Alec Strom, he knew the child was evil. Yet despite the dark soul residing within Alec, Frank felt bonded to the child –compelled to save him from the darkness consuming him. After 13 years of striving to help Alec, Frank is startled to realize that the care he feels for his patient has stealthily developed into something deeper, stronger, than a mere doctor/patient relationship. But when Alec attacks and murders a visiting psychiatrist, Frank is terrified of what will become of Alec –and even more terrified of his own feelings for the disturbed and dangerous young man.

Now, Frank sits alone in his office at the Asylum on the night of Alec’s execution, awaiting news of Alec’s death - alone with his memories of a troubled child he watched grow into a troubled young man…and somehow fell in love with along the way. When the fated call comes in, he is consumed with sadness and a sense of failure. But the awful night turns to horror when Frank is suddenly faced with the terrifying reality that evil isn’t so easily extinguished...or predictable.

• Published on: 2015-07-10
• Released on: 2015-07-10
• Format: Kindle eBook

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Download Structural Geology An Introduction to Geometrical Techniques Third EditionBy Donal M. Ragan

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• Published on: 1985
• Binding: Paperback

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Download PDF Ravine Volume 2By Stjepan Sejic, Ron Marz

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• The balance of power in the kingdom of Palladia is threatened, as schemers plot to overthrow the rightful king. Amid this turmoil, a sorcerer named Stein Phais and a dragon rider named Lynn de Luctes are Wanderers, blessed with great power and destinies that can shape the fate of nations. How long will it be before they are drawn into the conflict?

• Amazon Sales Rank: #308150 in Books
• Published on: 2014-10-21
• Original language: English
• Number of items: 1
• Dimensions: 10.10" h x .40" w x 6.50" l, .0 pounds
• Binding: Paperback
• 160 pages

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Ebook Free The Psychology of Computer Programming: Silver Anniversary EditionBy Gerald M. Weinberg, Gerald M. Weinberg

Ebook Free The Psychology of Computer Programming: Silver Anniversary EditionBy Gerald M. Weinberg, Gerald M. Weinberg

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The Psychology of Computer Programming: Silver Anniversary EditionBy Gerald M. Weinberg, Gerald M. Weinberg

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This landmark 1971 classic is reprinted with a new preface, chapter-by-chapter commentary, and straight-from-the-heart observations on topics that affect the professional life of programmers.Long regarded as one of the first books to pioneer a people-oriented approach to computing, The Psychology of Computer Programming endures as a penetrating analysis of the intelligence, skill, teamwork, and problem-solving power of the computer programmer.Finding the chapters strikingly relevant to today's issues in programming, Gerald M. Weinberg adds new insights and highlights the similarities and differences between now and then. Using a conversational style that invites the reader to join him, Weinberg reunites with some of his most insightful writings on the human side of software engineering.Topics include egoless programming, intelligence, psychological measurement, personality factors, motivation, training, social problems on large projects, problem-solving ability, programming language design, team formation, the programming environment, and much more.Dorset House Publishing is proud to make this important text available to new generations of Weinberg fans and to encourage readers of the first edition to return to its valuable lessons.

• Amazon Sales Rank: #842459 in Books
• Brand: Brand: Dorset House
• Published on: 1998-09
• Original language: English
• Number of items: 1
• Dimensions: .79" h x 6.07" w x 9.03" l, 1.10 pounds
• Binding: Paperback
• 292 pages

Features

• Used Book in Good Condition

Review I recently reread parts of The Psychology of Computer Programming that seemed very radical to me when I first read them in 1971. As I look around at today's programmers, I can see what a large, beneficial effect that work has had. --Richard Mateosian, IEEE MicroThe Psychology of Computer Programming . . . was the first major book to address programming as an individual and team effort, and became a classic in the field. . . . Despite, or perhaps even because of, the perspective of 1971, this book remains a must-read for all software development managers. --J.J. Hirschfelder, Computing ReviewsWhether you're part of the generation of the 1960's and 1970's, or part of the current generation . . . you owe it to yourself to pick up a copy of this wonderful book. Once you've digested it, you should then track down all [twenty] of the other Weinberg textbooks published by Dorset House. . . . Every one of them is a jewel. --Ed Yourdon, Cutter IT E-Mail Advisor

About the Author Internationally respected for his innovative thinking on both human and technical issues, GERALD M. WEINBERG focuses on ways to help people improve their productivity. A highly influential author, lecturer, and consultant, he draws on experiences gained in all three roles, as well as from a long technical career as a software developer and researcher.Gerald M. Weinberg has written on topics ranging from computer systems and programming to education and problem solving -- and most recently, on writing, itself, and fiction! He is author, coauthor, or editor of more than twenty Dorset House books.

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PDF Download On Intelligence

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Listening Length: 9 hours and 22 minutes

Program Type: Audiobook

Version: Unabridged

Publisher: Audible Studios

Audible.com Release Date: January 27, 2005

Whispersync for Voice: Ready

Language: English, English

ASIN: B0007OB404

Amazon Best Sellers Rank:

In this very well written book, Hawkins and Blakeslee describe a new model of how our human intelligence has evolved, how it "works" and what it means to have a “massive” cerebral cortex. Much of the description of the brain's neuronal structure will be familiar to those who follow developments in neuroscience. However, what's new here is a working model of how the brain uses extensive feedback loops to complete the complex task of information processing.The authors assert that, "The brain uses the same process to see as to hear. The cortex does something universal that can be applied to any type of sensory or motor system." And, "The idea that patterns from different senses are equivalent inside your brain is quite surprising, and although well understood, it still isn’t widely appreciated." Further, the way the brain processes information is consistently applied to all that sensory data. This common processing algorithm and sensory input processing helps our brains to adapt to an ever changing environment. That is why we can live and function in this modern world. A world in which change, and our need to adapt, has certainly outstripped evolutionary time scales.The hypothesis put forward in this book rings true to me based on my understanding of complex systems and from observing the actions of my fellow human beings. This model (new to me but not necessarily new to the neuroscience world) doesn't negate my understanding from other reading how the human brain is "wired." Rather, it explains more fully how the system "hangs together" and accomplishes the incredible feats we witness every day. It also lays the foundation for a better understanding of human consciousness.Once again the fact that we can understand our material world only in a "second hand" manner is driven home by this model. We work only with a representation of the world, and it is represented by a limited number of sensory inputs. From the standpoint of how we deal with our fellow human beings, this challenging and interesting book makes it clear that we should all be a lot lesscertain that what we "know to be true" is actually a true representation of reality.In the authors' words: "Finally, the idea that patterns are the fundamental currency of intelligence leads to some interesting philosophical questions. When I sit in a room with my friends, how do I know they are there or even if they are real? My brain receives a set of patterns that are consistent with patterns I have experienced in the past. These patterns correspond to people I know, their faces, their voices, how they usually behave, and all kinds of facts about them. I have learned to expect these patterns to occur together in predictable ways. But when you come down to it, it’s all just a model. All our knowledge of the world is a model based on patterns. Are we certain the world is real? It’s fun and odd to think about. Several science-fiction books and movies explore this theme. This is not to say that the people or objects aren’t really there. They are really there. But our certainty of the world’s existence is based on the consistency of patterns and how we interpret them. There is no such thing as direct perception. We don’t have a “people” sensor. Remember, the brain is in a dark quiet box with no knowledge of anything other than the time-flowing patterns on its input fibers. . . Your perception of the world is created from these patterns, nothing else. Existence may be objective, but the spatial-temporal patterns flowing into the axon bundles in our brains are all we have to go on."What does all this mean to our daily lives? To me it simply means that there are solid reasons to make sure we always question our assumptions, work to find as much objective empirical data as possible and allow for other people to have a different view of the patterns they discern. Our individual perspective is all we have, but it isn't necessarily the only one nor is it necessarily the most accurate representation.

This book was a great read, very accessible and might prove to be a very important book one day. It's concise and to the point and if you have any interest whatsoever in AI you simply can not miss this it. It's a quick read that will without a doubt have a significant impact on how you view the future of artificial intelligence.As a testament to it's relevancy today (I'm writing this Sept 2012, seven years after the book was published) he predicts three technological applications that may become available in the short term (5-10 years) due to breakthroughs in the kind of trainable AI this book discusses:Computer vision and teaching a computer to tell the difference between a cat and a dog (this was successfully demonstrated in a study published in June 2012 - the paper is called "Building High-level Features Using Large Scale Unsupervised Learning" and is available online, or just search for "computer learns to recognize cats" for articles)PDAs (as they were called back then) will understand naturally spoken instructions like "Move my daughter's basketball game on Sunday to 10 in the morning" (this kind of sentence, copied from the book verbatim, is exactly where Apple's AI application SIRI shines)Smart/autonomous cars - in Aug 2012, Google announced that their self driving cars have logged 300 K accident free miles in live traffic on public roads, exceeding the average distance a human drives without accident.The thing to note here is that when he wrote the book these three things had hurdles that we did not know how to solve, and at the time there was no clear linear progression of existing solutions that would guarantee they would be solved. His prediction is that we'll be able to train computers to recognize patterns by themselves which will allow us to eventually solve the problems (and this is exactly how the computer learned to recognize cat faces from youtube videos)Furthermore, he predicts that AI will become one of the hottest fields within the next 10 years - and with the current explosion of interest in Big Data, Machine Learning, and applications like SIRI it is hard to deny that it lookslike we're right in the midst of seeing just this happen.The grander implications of the model of this book won't be known for another 10-20 years or more, but 7 years in his general predictions about the field of AI have been very accurate.

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