資料來源:
三民書局
Essentials of Python for artificial intelligence and machine learning / Pramod Gupta, Anupam Bagchi.
- 作者： Gupta, Pramod.
- 其他作者：
- 其他題名：
- Synthesis lectures on engineering, science, and technology.
- Synthesis collection of technology.
- 出版： Cham, Switzerland : Springer c2024.
- 叢書名： Synthesis lectures on engineering, science, and technology, , Synthesis collection of technology
- 主題： Machine learning--Computer programs. , Artificial intelligence--Computer programs. , Python (Computer program language)
- ISBN： 9783031437243 (hbk.): NT$1721
- 書目註：Includes bibliographical references and index.
-
讀者標籤：
- 系統號： 005183864 | 機讀編目格式
館藏資訊
This book introduces the essentials of Python for the emerging fields of Machine Learning (ML) and Artificial Intelligence (AI). The authors explore the use of Python’s advanced module features and apply them in probability, statistical testing, signal processing, financial forecasting, and various other applications. This includes mathematical operations with array data structures, Data Manipulation, Data Cleaning, machine learning, Data pipeline, probability density functions, interpolation, visualization, and other high-performance benefits using the core scientific packages NumPy, Pandas, SciPy, Sklearn/Scikit learn and Matplotlib. Readers will gain a deep understanding with problem-solving experience on these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. Several examples of real problems using these techniques are provided along with examples. The authors also focus on the best practices in the industry on using Python for AI and ML. Deployment on a cloud infrastructure is described in detail (with code) to emphasize real scenarios.