Download The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos
The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos. It is the time to boost as well as refresh your ability, knowledge and also encounter included some home entertainment for you after long time with monotone things. Working in the office, going to research, picking up from test as well as more activities might be finished as well as you need to begin brand-new things. If you feel so exhausted, why do not you attempt brand-new thing? An extremely simple thing? Checking out The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos is exactly what we offer to you will understand. And also guide with the title The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos is the referral now.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos
Download The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos
Have you detailed what should you obtain today? Is there any kind of plan and concept to obtain the brand-new collection of book? Well, if you have not that type of strategy, we will certainly influence you and make certain you to take it in noted. Publication is much recommended to be constantly in listing for you. It is type of day-to-day need. So, when you reserve much loan for other necessities, you also have to reserve some loan to acquire the book.
This is why we advise you to always visit this page when you need such book The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos, every book. By online, you could not getting the book establishment in your city. By this on-line library, you could discover guide that you truly want to check out after for long time. This The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos, as one of the recommended readings, has the tendency to remain in soft documents, as every one of book collections here. So, you might likewise not wait for couple of days later on to receive and also read guide The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos.
Yeah, spending time to review the publication The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos by on the internet can additionally provide you good session. It will alleviate to correspond in whatever condition. Through this can be much more fascinating to do and also simpler to check out. Now, to get this The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos, you can download in the link that we give. It will help you to obtain very easy way to download and install the e-book The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos.
You can conserve the soft documents of this e-book The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos It will certainly depend upon your downtime as well as tasks to open up as well as review this book The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos soft file. So, you might not hesitate to bring this e-book The Master Algorithm: How The Quest For The Ultimate Learning Machine Will Remake Our World, By Pedro Domingos almost everywhere you go. Simply add this sot data to your gizmo or computer disk to allow you review every single time and almost everywhere you have time.
Review
"Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be."―Walter Isaacson, author of Steve Jobs and The Innovators"An impressive and wide-ranging work that covers everything from the history of machine learning to the latest technical advances in the field."―Daily Beast"Domingos writes with verve and passion."―New Scientist"Unlike other books that proclaim a bright future, this one actually gves you what you need to understand the changes that are coming."―Peter Norvig, Director of Research, Google and coauthor of Artificial Intelligence: A Modern Approach"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 sience and philosophy as well."―Duncan Watts, Principal Researcher, Microsoft Research, and author of Six Degrees and Everything Is Obvious *Once You Know the Answer "[The Master Algorithm] does a good job of examining the field's five main techniques.... The subject is meaty and the author...has a knack for introducing concepts at the right moment."―The Economist"Domingos is a genial and amusing guide, who sneaks us around the backstage areas of the science in order to witness the sometimes personal (and occasionally acrimonious) tenor of research on the subject in recent decades."―Times Higher Education "An exhilarating venture into groundbreaking computer science." ―Booklist, starred review"[An] enthusiastic but not dumbed-down introduction to machine learning...lucid and consistently informative.... With wit, vision, and scholarship, Domingos decribes how these scientists are creating programs that allow a computer to teach itself. Readers...will discover fascinating insights." ―Kirkus Reviews "This book is a must have to learn machine learning without equation. It will help you get the big picture of the several learning paradigms. Finally, the provocative idea is not only intriguing, but also very well argued."―Data Mining Research
Read more
About the Author
Pedro Domingos is a professor of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.
Read more
Product details
Paperback: 352 pages
Publisher: Basic Books; Reprint edition (February 13, 2018)
Language: English
ISBN-10: 0465094279
ISBN-13: 978-0465094271
Product Dimensions:
5.5 x 1 x 8.2 inches
Shipping Weight: 10.4 ounces (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
184 customer reviews
Amazon Best Sellers Rank:
#17,506 in Books (See Top 100 in Books)
This book isn't perfect, but I'm still giving it 5 stars because it provides a better overview of the entire field of Machine Learning than any other book I've come across. My background is in computer science and software engineering and I've been interested ML as more of a hobbyist and outside observer for a few years (reading some books, taking Andrew NG's coursera course), just recently dabbling in some applications professionally. What I was still missing before reading this book was as high a level understanding of where all of the models and technique in the field of ML fit. 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). Finally, it makes clear that these techniques are not all competing for being the best overall at everything, but that they can be used quite complementary and/or they have unique strengths within certain problem domains. The book accomplishes all of this through a survey of broad subfields of ML, how each has attempted to be *the* master algorithm, has fallen short in some ways, but remains the best at some things and could play a role in the state of the art master algorithm (while acknowledging we're not quite there yet). So while the term 'master algorithm' is somewhat of a gimmick (as he acknowledges), it's a good way to think about what ML is attempting to accomplish as a field: building working, adaptive software systems with less and less human assistance by learning from data, and to see how many specific techniques have played a role in progress.What I don't know is how accessible this book might be to someone who's less technical. I think the first couple chapters would be a great read for anyone with a general interest, making clear how ML differs from the traditional software / automation that has brought us so far, but it could be that the details within the rest of the chapters that go into more depth would be too in the weeds.I've also read some other reviews from technical readers that assert the book lacks enough depth to be helpful, but this wasn't the case for me, in fact the level of detail was perfect—just deep enough to match with details I'd skimmed before in previous surveys of the field yet not so deep that I couldn't get through and enjoy the chapters in a casual evening read. The author also explained some concepts better than I've read anywhere else before, such as the debate is between frequentist and bayesian statisticians.
The Master Algorithm is a reasonable overview of the growing field of machine learning. The author explores the idea of there being a master algorithm which could explain everything given enough data. The idea seems a bit over the top when initially phrased but the real purpose of the book is to introduce ideas used in machine learning and how they work and are used to solve problems.The book is split into multiple chapters which start from discussing abstractly the master algorithm and then move on to some of the philosophical issues associated with using such algorithms. In particular the author discusses at the core of believing in pattern recognition algorithms is belief in inductive reasoning. The author discusses human learning and gets into some neuroscience and how neural networks are constructed. The reader gets a vague sense of Hebbian learning and how neuron weighting are at the core of neural networks. The author spends a lot of time discussing various approaches in machine learning and gives the reader an intuitive feel of Bayesian learning. The author was an originator in a particular algorithm called naïve Bayes which greatly simplified solutions to certain problems and so the author introduces his ideas to the reader. Other machine learning ideas are introduced like genetic programming and multivariable regression. The author also discusses other machine learning algorithms which turn data into a vector and then look for close neighbors of the vector to classify the input. The author also spends some time on how unsupervised learning would look. The book combines computer science ideas and intuition and tries to use a fictitious robot as the means to convey ideas about how a computer would learn. The author finally introduces his own master algorithm called alchemy which combines most of the models described in the book. The reader really gets little actual sense of what's going on in the algorithm as the author qualifies one needs a PhD in computer science.The Master Algorithm is the first book I have seen which introduces some of the ideas being used in machine learning to a general audience. It does so quite well and most of the ideas are absorbable. At the same time there are a few too many instances where the author is self promoting talking about all of the brilliant ideas he has had which have reshaped the field and how other areas of AI research of the past or Kurzweil and his singularity concept are idiotic. Despite probably being right in much of his analysis its arguing with no one on the other side and unproductive. Also the flavor of the writing is odd - it turns into some fantasy literature at times as though that makes the subject more digestible and in fact makes it more irritating. I enjoyed reading aspects of the book and do think the parts on what different schools of machine learning focus on are well written for a non expert, unfortunately there are many other parts of the book which one wants to get through as quickly as possible.
AWESOME OVERVIEW OF ML IDEASI have read a few textbooks on machine learning (intro to Statistical Learning by Hastie etc) and so I would say that my knowledge of ML is at the "textbook overview" level. Since I am not a ML practitioner, I may not be the best judge of a book such as this one, it was a fairly difficult read, and I know I need to read the book a second time to get an even greater appreciation and understanding of the concepts covered by the author. That being said, it was a very enjoyable book. The book was very different from any ML book that I've read or checked out either at a bookstore or online. I think one needs to have some knowledge of ML to appreciate the book - concepts like supervised learning, unsupervised learning, Bayesian inference, support vector machines, neural networks, etc .... The book deserves a 5-star rating because it added a lot of value to my understanding of ML, and increased my desire and curiosity to learn more about the field of ML ....
This is a great book and covers everything but this book is certainly not for someone without prior knowledge of machine learning and good understand of some principles.At the start of the book, Pedro mentions that this book is written for the layman but it's not.I gave this book to a friend of mine before I read it and he was like "doode this is not for laymen, I didn't understand a thing".While the book is great for seasoned programmers and those starting with machine learning and good knowledge of some concepts, this book ain't for someone who wants to know more about machine learning and algorithms.I still give it 5 because Pedro is a great guy and this book is indepth.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos PDF
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos EPub
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos Doc
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos iBooks
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos rtf
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos Mobipocket
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos Kindle
0 comments:
Post a Comment