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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Applied Artificial Intelligence and Machine Learning

Applied Artificial Intelligence and Machine Learning

Sguiri, Bilal
Gmira, Faiq
Habiby, Salwa

Paperback

General Computers

ISBN10: 6208195578
ISBN13: 9786208195571
Publisher: Our Knowledge Publishing
Published: Oct 17 2024
Pages: 108
Weight: 0.37
Height: 0.26 Width: 6.00 Depth: 9.00
Language: English
The click-through rate on web ads measures the number of clicks they receive from all customers who view them from web browsers.This paper, with the aim of anticipating customer preferences, proposes an approach that uses AI and ML to design and implement hyper-personalized experiences to automate the complex tasks related to predicting customer behaviors to better understand them and offer them intelligent web advertising.The proposed approach is based on granular customer segmentation, dynamic content adaptation, precise product recommendations and predictive analysis. To implement cognitive functions, data comes from Chatbots processed with data analysis, multivariate testing, attribution modeling and predictive optimization.A case study is discussed and the solution proposed and programmed with the Python language and its machine learning libraries: Pandas, NumPy, Matplotlib and Scikit-learn.

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