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Can I read Machine learning guide for oil and gas using Python : ǂa ǂstep-by-step breakdown with data, algorithms, codes, and applications on EtoBox?
Machine learning guide for oil and gas using Python : ǂa ǂstep-by-step breakdown with data, algorithms, codes, and applications by Hoss Belyadi , Alireza Haghighat is a computer science book available to read on EtoBox.
What is Machine learning guide for oil and gas using Python : ǂa ǂstep-by-step breakdown with data, algorithms, codes, and applications about?
Many Python developers are curious about what machine learning is and how it can be concretely applied to solve issues faced in businesses handling medium to large amount of data. Machine Learning with Python teaches you the basics of machine learning and provides a thorough hands-on understanding of the subject.You'll learn important machine learning concepts and algorithms, when to use them, and how to use them. The book will cover a machine learning workflow: data preprocessing and working wi
Who reads Machine learning guide for oil and gas using Python : ǂa ǂstep-by-step breakdown with data, algorithms, codes, and applications?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Hoss Belyadi , Alireza Haghighat
- Publisher
- Elsevier Science & Technology; Gulf Professional Publishing
- Published
- 2021
- Language
- EN
- ISBN
- 9781449369903
- Category
- computer science
- Subjects
- Language Learning, Science, Technology
- Rating
- 5 / 5 (1 ratings)
- Updated
- 2026-03-25
Other editions & translations
- Machine learning with Python cookbook : practical solutions from preprocessing to deep learning (2018)
- Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (2nd Ed, Release 4) (2018)
- Машинное обучение с использованием Python. Сборник рецептов: Пер. с англ. (2019)
- Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (2nd Ed, Release 5) (2018)
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