000			01956nam a22002177a 4500
003			OSt
005			20250530112138.0
008			250530b |||||||| |||| 00| 0 eng d
020			_a9781800209848
040			_cAACR-II
082			_a006.3 ART
100			_aArankalle, Chinmay...et.al. _910981
245			_aArtificial intelligence infrastructure workshop
260			_aBirmingham _bPackt Publishing _c2020
300			_a678 p.
520			_aSocial networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one. The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application. By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods.
600			_aTechnology Sector _910982
650			_aArtificial Intelligence _910983
650			_aMachine Learning _910984
942			_2ddc _cB
999			_c358393 _d358393