توضیحات
The book provides an in-depth look at how machine learning algorithms are transforming biotechnology, from drug discovery to genetic research and bioinformatics. It explains key methods, practical applications, and challenges in integrating AI into biological studies. Readers will gain insights into predictive modeling, data analysis, and automated decision-making in biotechnology. This resource is ideal for students, researchers, and professionals seeking to understand the intersection of AI and life sciences.
نقد و بررسیها
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