| Datta S., Davim J. Machine Learning in Industry 2022.pdf | 5.78 MB |
Textbook in PDF format
This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems
| torrent name | size | uploader | age | seed | leech |
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Datta S. Steel Informatics. Analysing Data of a Complex Materials 2024 Posted by
andryold1 in Books
> Ebooks
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17.46 MB | andryold1 | 1 year | 13 | 0 |
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Datta S. Strategic Optionality. Pathways Through Disruptive Uncertainty 2023 Posted by
andryold1 in Books
> Ebooks
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1.98 MB | andryold1 | 3 years | 3 | 0 |
| 22.26 MB | andryold1 | 3 years | 2 | 0 | |
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Datta S. Special Relativity, Tensors, And Energy Tensor...2021 Posted by
andryold1 in Books
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38.3 MB | andryold1 | 5 years | 2 | 0 |
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