000			01923nam a22002177a 4500
999			_c5215 _d5215
005			20230427145943.0
008			230427b ||||| |||| 00| 0 eng d
020			_a9789811693229
082			_a006.3 _bTEO
100			_aTeoh, Teik Toe _912508
245			_aArtificial Intelligence with Python
260			_bSpringer _aSwitzerland _c2022
300			_axiv, 336 p.
365			_aEURO _b49.99
490			_aMachine learning: foundations, methodologies, and applications
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. This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.
650			_aArtificial Intelligence _91478
650			_aPython (Programming Language) _95196
700			_aRong, Zheng _912622
942			_2ddc _cBK