29:
203:
asymptotically grow to a perfect understanding of how the world and people in it work. Although the algorithm doesn't yet exist, he briefly reviews his own invention of the
292:
265:
praised the book, stating that "Readers unfamiliar with logic and computer theory will have a difficult time, but those who persist will discover fascinating insights."
233:
541:
359:
536:
441:
192:
judgments. Throughout the book, it is suggested that each different tribe has the potential to contribute to a unifying "master algorithm".
127:
333:
484:
384:
526:
521:
499:
28:
546:
200:
419:
516:
385:"The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos"
259:
agreed
Domingos "does a good job" but complained that he "constantly invents metaphors that grate or confuse".
225:
161:
479:
230:
189:
57:
249:
144:
released in 2015. Domingos wrote the book in order to generate interest from people outside the field.
474:
204:
531:
169:
153:
172:. The author explains these tribes to the reader by referring to more understandable processes of
485:
http://www.kdnuggets.com/2014/08/interview-pedro-domingos-master-algorithm-new-deep-learning.html
229:, as one of two books everyone should read to understand AI. In 2018 the book was noted to be on
181:
165:
122:
137:
The Master
Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
71:
409:"Machines for thinking: artificial intelligence." The Economist, 3 Oct. 2015, p. 86(US).
261:
141:
39:
510:
270:
255:
157:
220:
293:"Pedro Domingos' Master Algorithm: How machine learning is reshaping how we live"
185:
81:
236:
216:
67:
360:"The two books helping China's Xi Jinping understand artificial intelligence"
334:"Bill Gates says these are the two books we should all read to understand AI"
196:
480:
http://www.kdnuggets.com/2015/09/book-master-algorithm-pedro-domingos.html
22:
How the Quest for the
Ultimate Learning Machine Will Remake Our World
319:
The Master
Algorithm: How machine learning is reshaping how we live
475:
https://www.wsj.com/articles/the-sum-of-human-knowledge-1442610803
177:
173:
195:
Towards the end of the book the author pictures a "master
420:"THE MASTER ALGORITHM by Pedro Domingos | Kirkus Reviews"
253:
that the examples are clear and accessible. In contrast,
274:
review called it "compelling but rather unquestioning".
152:
The book outlines five approaches of machine learning:
121:
113:
105:
97:
87:
77:
63:
53:
45:
35:
8:
19:
27:
18:
446:: A world remade by machines that learn"
283:
247:A computer science educator stated in
542:Philosophy of artificial intelligence
291:Auerbach, David (25 September 2015).
7:
14:
219:recommended the book, alongside
537:Philosophy of computer science
1:
389:Times Higher Education (THE)
199:" in the near future, where
201:machine learning algorithms
563:
176:, connections made in the
26:
317:Domingos, Pedro (2015).
162:evolutionary computation
109:Print, e-book, audiobook
358:Huang, Zheping (2018).
231:Chinese Communist Party
58:Artificial intelligence
527:Computer science books
522:2015 non-fiction books
332:Ha, Thu-Huong (2016).
250:Times Higher Education
16:Book by Pedro Domingos
20:The Master Algorithm:
444:The Master Algorithm
205:Markov logic network
170:analogical modelling
391:. 17 September 2015
154:inductive reasoning
23:
93:September 22, 2015
547:Basic Books books
321:. pp. 246–7.
234:general secretary
226:Superintelligence
182:natural selection
133:
132:
98:Publication place
554:
517:Machine learning
503:
502:
500:Official website
462:
461:
459:
457:
438:
432:
431:
429:
427:
416:
410:
407:
401:
400:
398:
396:
381:
375:
374:
372:
370:
355:
349:
348:
346:
344:
329:
323:
322:
314:
308:
307:
305:
303:
288:
89:Publication date
31:
24:
562:
561:
557:
556:
555:
553:
552:
551:
507:
506:
498:
497:
494:
471:
469:Further reading
466:
465:
455:
453:
440:
439:
435:
425:
423:
418:
417:
413:
408:
404:
394:
392:
383:
382:
378:
368:
366:
357:
356:
352:
342:
340:
331:
330:
326:
316:
315:
311:
301:
299:
290:
289:
285:
280:
245:
213:
150:
106:Media type
90:
72:popular science
21:
17:
12:
11:
5:
560:
558:
550:
549:
544:
539:
534:
529:
524:
519:
509:
508:
505:
504:
493:
492:External links
490:
489:
488:
482:
477:
470:
467:
464:
463:
445:
433:
411:
402:
376:
350:
324:
309:
282:
281:
279:
276:
262:Kirkus Reviews
244:
241:
239:'s bookshelf.
212:
209:
166:Bayes' theorem
149:
146:
142:Pedro Domingos
131:
130:
128:978-0465065707
125:
119:
118:
115:
111:
110:
107:
103:
102:
99:
95:
94:
91:
88:
85:
84:
79:
75:
74:
65:
61:
60:
55:
51:
50:
47:
43:
42:
40:Pedro Domingos
37:
33:
32:
15:
13:
10:
9:
6:
4:
3:
2:
559:
548:
545:
543:
540:
538:
535:
533:
530:
528:
525:
523:
520:
518:
515:
514:
512:
501:
496:
495:
491:
486:
483:
481:
478:
476:
473:
472:
468:
451:
450:New Scientist
447:
443:
437:
434:
421:
415:
412:
406:
403:
390:
386:
380:
377:
365:
361:
354:
351:
339:
335:
328:
325:
320:
313:
310:
302:September 26,
298:
294:
287:
284:
277:
275:
273:
272:
271:New Scientist
266:
264:
263:
258:
257:
256:The Economist
252:
251:
242:
240:
238:
235:
232:
228:
227:
222:
218:
210:
208:
206:
202:
198:
193:
191:
187:
183:
179:
175:
171:
167:
163:
159:
158:connectionism
155:
147:
145:
143:
140:is a book by
139:
138:
129:
126:
124:
120:
116:
112:
108:
104:
101:United States
100:
96:
92:
86:
83:
80:
76:
73:
69:
66:
62:
59:
56:
52:
48:
44:
41:
38:
34:
30:
25:
454:. Retrieved
449:
436:
424:. Retrieved
414:
405:
393:. Retrieved
388:
379:
367:. Retrieved
363:
353:
341:. Retrieved
337:
327:
318:
312:
300:. Retrieved
296:
286:
269:
267:
260:
254:
248:
246:
224:
221:Nick Bostrom
214:
211:In the media
194:
151:
136:
135:
134:
487:(interview)
186:probability
82:Basic Books
532:Algorithms
511:Categories
278:References
237:Xi Jinping
217:Bill Gates
190:similarity
68:Philosophy
297:Slate.com
243:Reception
197:algorithm
78:Publisher
215:In 2016
148:Overview
46:Language
456:4 March
426:4 March
395:4 March
369:4 March
343:4 March
117:352 pp.
54:Subject
49:English
452:. 2015
422:. 2015
364:Quartz
338:Quartz
36:Author
178:brain
174:logic
114:Pages
64:Genre
458:2018
428:2018
397:2018
371:2018
345:2018
304:2015
188:and
168:and
123:ISBN
223:'s
513::
448:.
387:.
362:.
336:.
295:.
268:A
207:.
184:,
180:,
164:,
160:,
156:,
70:,
460:.
442:"
430:.
399:.
373:.
347:.
306:.
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
