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Clear data science and machine learning
KGS 2895
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Импортировано из магазина Japan
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- Machine learning, which is the cornerstone of AI, has the problem of turning the process of deriving results into a black box, which is an obstacle to the practical application of AI. As a solution to this problem, it is expected to utilize ''data science'' in its original sense, which uses careful data analysis to express phenomena behind data using statistical models. By using models with understandable mechanisms in the AI brain, we can also achieve AI transparency ――, or explainable XAI! In addition to explaining statistical modeling based on the ideas of data science, this book uses R to experience typical machine learning methods. By reading this book, you can learn the essence of exploratory data analysis and machine learning.
| Publisher | 近代科学社 |
| Publication date | May 29, 2020 |
| Language | Japanese |
| Print length | 236 pages |
| ISBN-10 | 4764906120 |
| ISBN-13 | 978-4764906129 |
| Item Weight | 440 g |
| Dimensions | 9.13 x 7.13 x 0.47 inches (23.2 x 18.1 x 1.2 cm) |
Who Should Buy?
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Aspiring Data Scientists
Individuals looking to build a foundational understanding of data science will benefit from clear and practical explanations.
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Educators and Trainers
Teachers needing a comprehensive resource to educate students about data science and machine learning concepts will find this useful.
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Professionals Transitioning Fields
Industry professionals aiming to shift into data science roles will gain valuable insights and skills from this book.
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Advanced Practitioners
Experienced data scientists may find the book's content too basic and not aligned with their advanced learning needs.
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Casual Readers
Individuals not seriously engaged in data science might not find the technical material interesting or relevant to them.
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Non-Technical Users
Readers without a technical background may struggle with the jargon and concepts presented, limiting their comprehension.
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KGS 2895
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