Best Machine Theory
However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. Besides being a profound and entertaining meditation on human thought and creativity, this book looks at the surprising points of contact between the music of Bach, the artwork of Escher, and the mathematics of Gödel. Hofstadter's great achievement in Gödel, Escher, Bach was making abstruse mathematical topics (like undecidability, recursion, and 'strange loops') accessible and remarkably entertaining. Escher, Kurt Gödel: biographical information and work, artificial intelligence (AI) history and theories, strange loops and tangled hierarchies, formal and informal systems, number theory, form in mathematics, figure and ground, consistency, completeness, Euclidean and non-Euclidean geometry, recursive structures, theories of meaning, propositional calculus, typographical number theory, Zen and mathematics, levels of description and computers; theory of mind: neurons, minds and thoughts; undecidability; self-reference and self-representation; Turing test for machine intelligence.
Reviews
Find Best Price at Amazon"Some of the topics explored: artificial intelligence, cognitive science, mathematics, programming, consciousness, zen, philosophy, linguistics, neuroscience, genetics, physics, music, art, logic, infinity, paradox, self-similarity. Inbetween chapters, he switches to a dialogue format between fantasy characters; here he plays with the ideas being discussed, and performs postmodern literary experiments. GEB combines the playful spirit of Lewis Carroll, the labyrinthine madness of Borges, the structural perfectionism of Joyce, the elegant beauty of mathematics, and the quintessential fascination of mind, all under one roof. The task of reducing mind to math, of connecting the nature of consciousness to an idea in formal systems, is such a lofty goal, that even if true, the author could never rigorously prove this thesis, only approach it from every conceivable direction. In the grand line of reductionism, where we in theory reduce consciousness to cognitive science to neuroscience to biology to chemistry to physics to math to metamath, GEB positions itself at the wraparound point at unsigned infinity, where the opposite ends of the spectrum meet."
"There is sooo much content in this book it's going to take my whole life to even begin to understand."
"For those of you who want to know about how things are this is a must read."
"So far a fantastic book."
"If you are interested in fractals, improbable harmonies, math recursion, puzzles, artistic illusionary impossibilities and strange loopy weirdness where life seems to look back at itself."
"Book in great shape."
"Condition of book was good, not great, slightly worse than described but totally acceptable."
"arrived safe and sound."
In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. Charles Petzold's latest book, Code: The Hidden Language of Computer Hardware and Software , crosses over into general-interest nonfiction from his usual programming genre. Topics covered : Mechanical and electrical representations of words and numbers, number systems, logic gates, performing mathematical operations with logic gates, microprocessors, machine code, memory and programming languages.
Reviews
Find Best Price at Amazon"For a reader like me, who asked every teacher from elementary school through college "why do we count to 10" and clung to the best answer of "it's arbitrary - it's just how it's always been done" until reading this book (and who struggled to convert binary to base ten), this book was gold."
"Petzold breaks the topic of computer mechanics into three parts: Firstly, Petzold discusses the nature of codes (as in the means for communication), electricity, and other essential basics that open the door for what could be considered the 'second' section of the book in which Petzold builds a computer 'from the ground up'. Finally, the book ends on a few chapters explaining the history of, at the time of him writing the book, 'current' computer technology."
"The book arranges a surprise for you somewhere in each chapter, wherein you realize what you've been learning about is a concrete topic of study."
"I got this book because like other reviewers have noted, I did't want any hand wavy explanations, and this book delivers."
"This book takes a look at the most basic building blocks of modern technology."
"My favorite part is when the author "builds" a CPU step-by-step with the building blocks he had previously explained, culminating in the creation of a rudimentary assembly language. Written in an informal tone, it embarks in a technical and historical journey that is very engaging and full of WOW moments."
"However, lately, there are still several books that do better job if you really want to learn more about machines."
In CODE, they show us the ingenious ways we manipulate language and invent new means of communicating with each other. Charles Petzold's latest book, Code: The Hidden Language of Computer Hardware and Software , crosses over into general-interest nonfiction from his usual programming genre. From Louis Braille's development of his eponymous raised-dot code to Intel Corporation's release of its early microprocessors, Petzold presents stories of people trying to communicate with (and by means of) mechanical and electrical devices. The real value of Code is in its explanation of technologies that have been obscured for years behind fancy user interfaces and programming environments, which, in the name of rapid application development, insulate the programmer from the machine.
Reviews
Find Best Price at Amazon"For a reader like me, who asked every teacher from elementary school through college "why do we count to 10" and clung to the best answer of "it's arbitrary - it's just how it's always been done" until reading this book (and who struggled to convert binary to base ten), this book was gold."
"Petzold breaks the topic of computer mechanics into three parts: Firstly, Petzold discusses the nature of codes (as in the means for communication), electricity, and other essential basics that open the door for what could be considered the 'second' section of the book in which Petzold builds a computer 'from the ground up'. Finally, the book ends on a few chapters explaining the history of, at the time of him writing the book, 'current' computer technology."
"The book arranges a surprise for you somewhere in each chapter, wherein you realize what you've been learning about is a concrete topic of study."
"I got this book because like other reviewers have noted, I did't want any hand wavy explanations, and this book delivers."
"This book takes a look at the most basic building blocks of modern technology."
"My favorite part is when the author "builds" a CPU step-by-step with the building blocks he had previously explained, culminating in the creation of a rudimentary assembly language. Written in an informal tone, it embarks in a technical and historical journey that is very engaging and full of WOW moments."
"However, lately, there are still several books that do better job if you really want to learn more about machines."
Best Modern Philosophy
However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. Besides being a profound and entertaining meditation on human thought and creativity, this book looks at the surprising points of contact between the music of Bach, the artwork of Escher, and the mathematics of Gödel. Hofstadter's great achievement in Gödel, Escher, Bach was making abstruse mathematical topics (like undecidability, recursion, and 'strange loops') accessible and remarkably entertaining. Escher, Kurt Gödel: biographical information and work, artificial intelligence (AI) history and theories, strange loops and tangled hierarchies, formal and informal systems, number theory, form in mathematics, figure and ground, consistency, completeness, Euclidean and non-Euclidean geometry, recursive structures, theories of meaning, propositional calculus, typographical number theory, Zen and mathematics, levels of description and computers; theory of mind: neurons, minds and thoughts; undecidability; self-reference and self-representation; Turing test for machine intelligence.
Reviews
Find Best Price at Amazon"Some of the topics explored: artificial intelligence, cognitive science, mathematics, programming, consciousness, zen, philosophy, linguistics, neuroscience, genetics, physics, music, art, logic, infinity, paradox, self-similarity. Inbetween chapters, he switches to a dialogue format between fantasy characters; here he plays with the ideas being discussed, and performs postmodern literary experiments. GEB combines the playful spirit of Lewis Carroll, the labyrinthine madness of Borges, the structural perfectionism of Joyce, the elegant beauty of mathematics, and the quintessential fascination of mind, all under one roof. The task of reducing mind to math, of connecting the nature of consciousness to an idea in formal systems, is such a lofty goal, that even if true, the author could never rigorously prove this thesis, only approach it from every conceivable direction. In the grand line of reductionism, where we in theory reduce consciousness to cognitive science to neuroscience to biology to chemistry to physics to math to metamath, GEB positions itself at the wraparound point at unsigned infinity, where the opposite ends of the spectrum meet."
"There is sooo much content in this book it's going to take my whole life to even begin to understand."
"For those of you who want to know about how things are this is a must read."
"So far a fantastic book."
"If you are interested in fractals, improbable harmonies, math recursion, puzzles, artistic illusionary impossibilities and strange loopy weirdness where life seems to look back at itself."
"Book in great shape."
"Condition of book was good, not great, slightly worse than described but totally acceptable."
"arrived safe and sound."
Best Artificial Intelligence & Semantics
However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. Besides being a profound and entertaining meditation on human thought and creativity, this book looks at the surprising points of contact between the music of Bach, the artwork of Escher, and the mathematics of Gödel. Hofstadter's great achievement in Gödel, Escher, Bach was making abstruse mathematical topics (like undecidability, recursion, and 'strange loops') accessible and remarkably entertaining. Escher, Kurt Gödel: biographical information and work, artificial intelligence (AI) history and theories, strange loops and tangled hierarchies, formal and informal systems, number theory, form in mathematics, figure and ground, consistency, completeness, Euclidean and non-Euclidean geometry, recursive structures, theories of meaning, propositional calculus, typographical number theory, Zen and mathematics, levels of description and computers; theory of mind: neurons, minds and thoughts; undecidability; self-reference and self-representation; Turing test for machine intelligence.
Reviews
Find Best Price at Amazon"Some of the topics explored: artificial intelligence, cognitive science, mathematics, programming, consciousness, zen, philosophy, linguistics, neuroscience, genetics, physics, music, art, logic, infinity, paradox, self-similarity. Inbetween chapters, he switches to a dialogue format between fantasy characters; here he plays with the ideas being discussed, and performs postmodern literary experiments. GEB combines the playful spirit of Lewis Carroll, the labyrinthine madness of Borges, the structural perfectionism of Joyce, the elegant beauty of mathematics, and the quintessential fascination of mind, all under one roof. The task of reducing mind to math, of connecting the nature of consciousness to an idea in formal systems, is such a lofty goal, that even if true, the author could never rigorously prove this thesis, only approach it from every conceivable direction. In the grand line of reductionism, where we in theory reduce consciousness to cognitive science to neuroscience to biology to chemistry to physics to math to metamath, GEB positions itself at the wraparound point at unsigned infinity, where the opposite ends of the spectrum meet."
"There is sooo much content in this book it's going to take my whole life to even begin to understand."
"For those of you who want to know about how things are this is a must read."
"So far a fantastic book."
"If you are interested in fractals, improbable harmonies, math recursion, puzzles, artistic illusionary impossibilities and strange loopy weirdness where life seems to look back at itself."
"Book in great shape."
"Condition of book was good, not great, slightly worse than described but totally acceptable."
"arrived safe and sound."
Best Computer Neural Networks
Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details. He was also a founder and CTO of Wifirst from 2002 to 2012, a leading Wireless ISP in France, and a founder and CTO of Polyconseil in 2001, the firm that now manages the electric car sharing service Autolib'.Before this he worked as an engineer in a variety of domains: finance (JP Morgan and Société Générale), defense (Canada's DOD), and healthcare (blood transfusion).
Reviews
Find Best Price at Amazon"Even though I come from a strong theoretical background, I have to say one must do hands on tinkering to be able to solve one's own problem successfully. There are pieces of information hard to find somewhere else, and I have spent hundreds to thousands to attend workshops. I was hoping Keras, a high level api that enables fast experiments, is covered."
"I got this book for the deep learning portion (about half of the overall book length), and was shocked at the clarity of the conceptual explanations and code implementations."
"The choice to start with Scikit-Learn was interesting, but makes sense on some level while he's introducing the more basic machine learning concepts. Simple machine learning techniques like logistic regression, data conditioning, dealing with training, validation, test set. Straightforward setup instructions, pretty intelligible explanation of the basic concepts (variables, placeholders, layers, etc.). The example code is quite good, and the notebooks are quite complete and seem to work well, with maybe a few tweaks and additional setup for some. Even just having a section on reinforcement learning is very rare in a book of this style, and Geron's samples and explanations are really solid."
"As with most technical books, it depends on where in the learning curve you are."
Best Natural Language Processing
Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details.
Reviews
Find Best Price at Amazon"I got this book for the deep learning portion (about half of the overall book length), and was shocked at the clarity of the conceptual explanations and code implementations."
"Even though I come from a strong theoretical background, I have to say one must do hands on tinkering to be able to solve one's own problem successfully. There are pieces of information hard to find somewhere else, and I have spent hundreds to thousands to attend workshops. I was hoping Keras, a high level api that enables fast experiments, is covered."
"Great book, takes a while to get going, but shows some excellent uses of scikit learn."
"Book content is very up-to-date and offers great hands-on experience."
"Great Book, well explained a lot of good examples, one of those books that the more times you read it , the more you profit from it."
"The choice to start with Scikit-Learn was interesting, but makes sense on some level while he's introducing the more basic machine learning concepts. Simple machine learning techniques like logistic regression, data conditioning, dealing with training, validation, test set. Straightforward setup instructions, pretty intelligible explanation of the basic concepts (variables, placeholders, layers, etc.). The example code is quite good, and the notebooks are quite complete and seem to work well, with maybe a few tweaks and additional setup for some. Even just having a section on reinforcement learning is very rare in a book of this style, and Geron's samples and explanations are really solid."
"As with most technical books, it depends on where in the learning curve you are."
Best Artificial Intelligence Expert Systems
In The Master Algorithm , Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. "Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be. "Domingos is the perfect tour guide from whom you will learn everything you need to know about this exciting field, and a surprising amount about science and philosophy as well. "[An] enthusiastic but not dumbed-down introduction to machine learning... lucid and consistently informative... With wit, vision, and scholarship, Domingos describes how these scientists are creating programs that allow a computer to teach itself. "This book is a must have to learn machine learning without equation.
Reviews
Find Best Price at Amazon"Other books describe the difference between supervised and unsupervised learning, but this book goes further in describing how, say, decisions trees, support vector machines and deep neural networks fit compared to each other and within which subfields statistics play a larger role than others. The book also puts many techniques in historical perspective that I found very helpful, such as the rise, fall and rise again of deep neural networks with support vector machines taking a lead as the hottest technique in between (while also making clear that SVMs are a useful technique with unique strengths today)."
"Helped me put the subject into a broad perspective seeing how different aspects relate to each other."
"Good to read for both ML experts or newbies."
"This is a great book!"
"This is a nice book that gives you a glimpse of what is AI and how is being used in society."
"Great book for helping me "refresh" my knowledge of AI from when I got an advanced degree in Computer Science -- many years ago."
"Excellent overview of machine learning."
"So much of our lives are being controlled by algorithms; its key to understand what makes them tick so as to stay in control of my choices."
Best Computer Vision & Pattern Recognition
These texts cover the design of object-oriented software and examine how to investigate requirements, create solutions and then translate designs into code, showing developers how to make practical use of the most significant recent developments. Design Patterns is a modern classic in the literature of object-oriented development, offering timeless and elegant solutions to common problems in software design.
Reviews
Find Best Price at Amazon"Depending on on how you think of programming, this book could be incredibly insightful, or horribly abstract and impractical."
"I find it very interesting and it goes into details for design patterns and re-use of code."
"I have been using this book as a reference on Design Pattern."
"This book will forever stand as a foundation of software development."
"OK, so this title has become almost a bible for the software industry - it seems to get cited by every other author I read, so I thought it was about time I actually bought a copy."
"Even though I program in ABAP, it helps me to translate the pattern into that code."
"Great book for who want to understand each pattern deeply."
"Excelent book."