000 | 01412nam a2200241 4500 | ||
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005 | 20250708155835.0 | ||
008 | 250708b |||||||| |||| 00| 0 eng d | ||
020 | _a9789811693229 | ||
082 |
_a006.31 TEO _bTEO |
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100 | _aTeoh, Teik Toe | ||
245 | _aArtificial intelligence with python | ||
260 |
_aSingapore: _bSpringer Nature, _c2022. |
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300 | _axiv, 336p. | ||
490 | _aMachine Learning: Foundations, Methodologies, and Applications | ||
500 | _aIncludes bibliographical references and index. | ||
520 | _aEntering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence. | ||
650 | _aArtificial Intelligence | ||
650 | _aPython (Computer program language) | ||
650 | _aMachine learning | ||
700 |
_aRong, Zheng _qAuthor |
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700 |
_aTan, Kay Chen & Tao, Dacheng _eSeries Editors |
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942 |
_2ddc _n0 _cC |
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999 |
_c30508 _d30508 |