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Applied Numerical Methods with Python : for Engineers and Scientists / Steven Chapra, David Clough New York : McGraw-Hill, 2021 1772 pages. ; 24 cm. Ký hiệu phân loại (DDC): 621.4022 When we first learned to use computers as students in the 1960s, Fortran was the language of choice for most engineering and scientific computations. Over the ensuing half century, numerous other languages have proven useful for implementing the numerical calculations that are so valuable to our research and teaching. Along with a succession of improved Fortran versions, other languages such as Algol, Basic, Pascal, and C/C++ have all found their way into our computational toolbox. The basic content, organization, and pedagogy of this book is like our other numerical methods textbooks. Số bản sách:
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Artificial Intelligence Programming with Python: From Zero to Hero / Perry Xiao NJ : Wiley, 2022 xxix, 681 pages : illustrations (chiefly color) ; 29 cm. Ký hiệu phân loại (DDC): 005.133 The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. Số bản sách:
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Artificial Intelligence with Python : Your complete guide to building intelligent apps using Python 3.x and TensorFlow 2 / Alberto Artasanchez, Prateek Joshi Birmingham : Packt, 2020 619 pages. : illustrations ; 29 cm. Ký hiệu phân loại (DDC): 005.133 Completely updated and revised edition of the bestselling guide to artificial intelligence, updated to Python 3.8 and TensorFlow 2, with seven new chapters that cover RNNs, AI & Big Data, fundamental use cases, machine learning data pipelines, chatbots, Big Data, and more Số bản sách:
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Data Science Projects with Python : A case study approach to successful data science projects using Python, pandas, and scikit-learn / Stephen Klosterman UK : Packt, 2019 374 p. : illustration ; 24 cm. Ký hiệu phân loại (DDC): 005.6 Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools, by applying them to realistic data problems. You will learn how to use pandas and Matplotlib to critically examine datasets with summary statistics and graphs, and extract the insights you seek to derive. You will build your knowledge as you prepare data using the scikit-learn package and feed it to machine learning algorithms such as regularized logistic regression and random forest. Số bản sách:
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