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Understanding Machine Learning: Approaches, Algorithms, and Business Applications
Paperback
Publisher: Lightning Source Inc
Published: Feb 14 2023
Pages: 90
Weight: 0.29
Height: 0.19 Width: 6.00 Depth: 9.00
Language: English
Section II will provide an overview of machine learning algorithms, including supervised, unsupervised, and reinforcement learning. We will explain how each algorithm works and provide examples of real-world applications.
Section IV will provide a practical guide to implementing machine learning algorithms in a business setting. We will discuss the steps in implementing machine learning, including data preparation, algorithm selection, and model evaluation. We will also highlight potential challenges and offer solutions.
In Section V, we will discuss various sectors of the economy that can benefit from machine learning, such as healthcare, finance, and retail. We will provide examples of real-world applications of machine learning in each sector and discuss how machine learning can improve operational efficiency and drive growth.
In conclusion, we will summarize the key takeaways from the book and provide final thoughts and recommendations for readers.
In the appendix, we will highlight current tolls and frameworks, a data preparation checklist, an algorithm selection guide, and a glossary of key terms.
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