000 | 01390 a2200169 4500 | ||
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020 | _a9780241404836 | ||
082 |
_a006.3 _bMIT |
||
100 | _aMitchell, Melanie | ||
245 | _aArtificial intelligence : a guide for thinking humans | ||
260 |
_bPelican Books _c2020 |
||
300 | _axxvi,419p. | ||
505 | _aContents PROLOGUE: TERRIFIED xi PART ONE: BACKGROUND CHAPTER 1 The Roots of Artificial Intelligence 3 CHAPTER 2 Neural Networks and the Ascent of Machine Learning 27 CHAPTER 3 Al Spring 37 PART TWO: LOOKING AND SEEING CHAPTER 4 Who, What, When, Where, Why 67 CHAPTER 5 ConvNets and lmageNet 89 CHAPTER 6 A Closer Look at Machines That Learn 109 CHAPTER 7 On Trustworthy and EthleaI Al 141 PART THREE: LEARNING TO PLAY CHAPTER 9 Game On 179 CHAPTER 10 Beyond Games 209 PART FOUR: ARTIFICIAL INTELLIGENCE MEETS NATURAL LANGUAGE CHAPTER 11 Words, and the Company They Keep 223 CHAPTER 12 Translation as Encoding and Decoding 253 CHAPTER 13 Ask Me Anything 277 PART FIVE: THE BARRIER OF MEANING CHAPTER 14 On Understanding 307 CHAPTER 15 Knowledge, Abstraction and Analogy in Artificial Intelligence 323 CHAPTER 16 Questions, Answers and Speculations 351 NOTES 373 ILLUSTRATION CREDITS 403 ACKNOWLEDGEMENTS 407 INDEX 409 | ||
600 | _988245 | ||
890 | _aIndia | ||
891 | _aGeneral | ||
942 | _2ddc | ||
999 |
_c68748 _d68748 |
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650 | _aArtificial intelligence. | ||
650 | _aMachine learning. | ||
650 | _aCOMPUTERS / Machine Theory. |