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Titlebook: Artificial Intelligence with Python; Teik Toe Teoh,Zheng Rong Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusi

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發(fā)表于 2025-3-21 16:39:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence with Python
影響因子2023Teik Toe Teoh,Zheng Rong
視頻videohttp://file.papertrans.cn/163/162539/162539.mp4
發(fā)行地址An essential artificial intelligence tutorial for people with little to no programming experience.Easy-to-digest content and code snippets covered in a step-by-step manner.Instructs how to implement y
學(xué)科分類Machine Learning: Foundations, Methodologies, and Applications
圖書封面Titlebook: Artificial Intelligence with Python;  Teik Toe Teoh,Zheng Rong Textbook 2022 The Editor(s) (if applicable) and The Author(s), under exclusi
影響因子.Entering 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 subjectsin 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 artificial intelligence
Pindex Textbook 2022
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Fault-Tolerant Real-Time Systems all around the world use Python. This chapter will provide an introduction to the Python Programming Language before covering its history and common uses and explain why it is so popular among Artificial Intelligence developers.
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發(fā)表于 2025-3-22 09:59:03 | 只看該作者
Fault-Tolerant Real-Time Systemsrocess. Jupyter Notebook and Anaconda are very useful tools that will make programming in Python simpler for learners and are commonly used in the industry. Setting up your development environment will be simple to achieve through following our step-by-step guide.
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From Consensus to , - Set Agreementams are thus written in a way that allows these algorithms to learn from data. This makes data quality crucial to the performance of the algorithm. Data exploration and investigation are a must for Artificial Intelligence developers to identify appropriate charts, present data to visualize its core characteristics, and tell stories observed.
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發(fā)表于 2025-3-22 23:45:23 | 只看該作者
Expedite Decision in the Crash Failure Modellls are needed to create efficient ETL pipelines for usable data. There are many functions in Pandas that allow us to deal with a wide variety of circumstances. This chapter will illustrate how to handle Missing Data Values, Duplicates, Mapping Values, Outliers, Permutations, Merging and Combining, Reshaping, and Pivoting.
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https://doi.org/10.1007/978-1-84882-653-3nd can be used as a form of feature engineering. The Apriori algorithm covered, mines for frequent itemsets and association rules in a database. Support, Lift, Conviction, and Confidence are important values that represent the strength of an association.
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