Download Ebook Cold Warrior: James Jesus Angleton : The Cia's Master Spy Hunter
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Cold Warrior: James Jesus Angleton : The Cia's Master Spy Hunter
Download Ebook Cold Warrior: James Jesus Angleton : The Cia's Master Spy Hunter
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Product details
Paperback: 462 pages
Publisher: Touchstone Books (May 1, 1992)
Language: English
ISBN-10: 0671778803
ISBN-13: 978-0671778804
Product Dimensions:
1.1 x 5.5 x 8.3 inches
Shipping Weight: 1.2 pounds
Average Customer Review:
3.5 out of 5 stars
15 customer reviews
Amazon Best Sellers Rank:
#1,183,115 in Books (See Top 100 in Books)
It really shows, maybe unintentionally, how the secret service all over the planet is something to be banned. These men have created a career for themselves enacting childhood spy games. The public gains nothing from them.The book is informative, well researched. The authors tries to be impartial (he explains why), but it is difficult to not come out against this 'spy vs spy' nonsense.I highly recommend it. You may come out with a different take on the whole thing. But it will sway you one way or another, for it is truly quite a story excellently written.
Tom Mangold bases this exciting, well-crafted account not on newsclippings and surmise but on dozens of insider interviews. These interviews must have been authorized from "on high," so it is clear that the Agency had turned against Angleton, or at least had decided to clean up the mess he had left. At the same time, Mangold does not tell the full story. One cannot expect him to do so while maintaining access to all of those sources. For example, there is ample evidence that Angleton ran his own assassination squad. Mangold doesn't tell the story of Angleton's (probable) theft of J. Edgar Hoover's files, as told in Curt Gentry's biography of Hoover. And Mangold doesn't really emphasize the fact that Angleton's "fundamenalist" group included a lot of people outside the Agency. Still, for anyone interested in researching the most devious and fascinating of the founding CIA members -- someone whose paranoia was so destructive that he was eventually accused (wrongly) of being a KGB asset himself -- this book is essential.
I was expecting a book about James Jesus Angleton to be more of a chronological narrative of his life and career and to have something in it that explained some positives about the man/legend. I was quite surprised to read of one negative expose after another, listing and explaining Mr. Angleton's screwups while head of counterintelligence with the CIA and the damage he caused while in that position. I knew he had a big reputation and the book lists him as a master spy catcher, which if you read the book is an exercise in sarcasm at best. I am near the end of the book and have yet to read anything that would justify giving him that title. Even if he was chief of CI and not a KGB agent he did more damage to the CIA than if he was a KGB asset. At least according to the author. Mr. Mangold's writing is adequate, but the real test is whether the facts are those . . . facts and the nature of the topic always creates doubts, but I was interested in the time, history and information on the subject and the book was extremely informative with a huge listing of notes in the back and some in the chapters. A good read.
This was one take on JJA that offered some insights not highlighted elsewhere. I found it to be an easy read.
A complicated and I think very insecure individual. I was hoping for more psychological insight into his personality but for me this book didn't quite satisfy.
Great
An amazing story of idiots at the helm of the CIA. James Angleton did more damage than any Russian mole could have dreamed of. Proof of Barabara Tuchman's thesis in "March of Folly" that we are led by buffoons and misguided idealogues from catastrophe to catastrophe. Exhaustively sourced this book must be the last word on Angleton.
A great story.
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Cold Warrior: James Jesus Angleton : The Cia's Master Spy Hunter PDF
Ebook Free Understanding Machine Learning: From Theory to Algorithms
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Understanding Machine Learning: From Theory to Algorithms
Ebook Free Understanding Machine Learning: From Theory to Algorithms
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Review
"This elegant book covers both rigorous theory and practical methods of machine learning. This makes it a rather unique resource, ideal for all those who want to understand how to find structure in data." Bernhard Schölkopf, Max Planck Institute for Intelligent Systems"This is a timely text on the mathematical foundations of machine learning, providing a treatment that is both deep and broad, not only rigorous but also with intuition and insight. It presents a wide range of classic, fundamental algorithmic and analysis techniques as well as cutting-edge research directions. This is a great book for anyone interested in the mathematical and computational underpinnings of this important and fascinating field." Avrim Blum, Carnegie Mellon University"This text gives a clear and broadly accessible view of the most important ideas in the area of full information decision problems. Written by two key contributors to the theoretical foundations in this area, it covers the range from theoretical foundations to algorithms, at a level appropriate for an advanced undergraduate course." Peter L. Bartlett, University of California, Berkeley
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Book Description
Machine learning makes use of computer programs to discover meaningful patters in complex data. It is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the "hows" and "whys" of the most important machine-learning algorithms, as well as their inherent strengths and weaknesses, making the field accessible to students and practitioners in computer science, statistics, and engineering.
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Product details
Hardcover: 410 pages
Publisher: Cambridge University Press; 1 edition (May 19, 2014)
Language: English
ISBN-10: 1107057132
ISBN-13: 978-1107057135
Product Dimensions:
7.2 x 1.1 x 10.2 inches
Shipping Weight: 2 pounds (View shipping rates and policies)
Average Customer Review:
4.1 out of 5 stars
25 customer reviews
Amazon Best Sellers Rank:
#72,299 in Books (See Top 100 in Books)
I have read many of the main books on machine learning. This is hands down the best. Rather than a laundry list of techniques, the book starts with a concise and clear introduction to statistical machine learning and then consistently connects those concepts to the main ML algorithms. Each chapter is 10 pages or so of crisp math and lean prose. A brief summary at the beginning of each chapter gives a clear sense of what will be accomplished in it, and attention to notation makes sure that mathematics supports understanding rather than getting in the way. This is definitely not a "how to" book, but rather a "what and why" book, focused on understanding principles and connections between them. I read the book cover to cover, and I was left with a sense of machine learning as a coherent discipline, and a solid feel for the main concepts.
I bought it since I wanted to refresh my knowledge on machine learning (I am a CS graduate, took the ML course about 15 years ago...). I finished one third of it by now and enjoy it very much.What I especially like about this book is that it gives a good theoretical background, before jumping into the algorithms.When getting to the algorithms the author show how to use the theoretical tools to analyze them, which is great !Also, the theoretical part was enough for me to further read and understand more recent theoretical ML research papers.That is a great feeling ! I wholeheartedly recommend this great book for graduates.
31 chapters in 360 pages, has exercises without answers.The test is very terse as you can figure out (each chapter has bibliography and exercises which take several pages from the chapter).From theory (no no) to algorithms well I little bit (same information level that I can get in Wikipedia)Just I want to know why k-means you can use Manhattan or euclidean distance, why to use one versus the otherthis book will not answer the question
For those with a strong mathematical background, this may be the best introduction out there. It takes one from the beginning concepts through to current research topics. Highly recommended!
This book contains some good introductory insights and fundamental principles but quickly gets into a lot of esoteric theorems and corollaries. I am happy with the purchase but I do not think all its pages will turn out to be useful to me or the typical practioner. By the way, I received the South Asian (India) edition; not sure if the seller is trying to pull a fast one by substituting that, but condition and content seem equivalent to US edition.
Ideal book for learning theory of machine learning, in order to get a deeper understanding of practical algorithms. Clear mathematical presentation, covers every subject that I come over in articles and want to understand better, good exercises.
This book is a very well written. Doesn’t go so much into detail but it’s still very intuitive. Small chapters are very informative and keep you interested in the topics. I used this book for the undergraduate class in ML I taught and my students loved it. However, the paperback printing is awful. Very cheap papers and graphs are not colored. If you’d like to buy it just go with the original US edition of this book!Overall, the book is very nice for an introductory class in machine learning for an advanced undergraduate level class. Can also be used for a graduate level class but some other materials should be covered that are not included in this book.
I love this book. It is an excellent compendium of detailed algorithms in machine learning.
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