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portada Mastering Machine Learning for Data Scientists
Type
Physical Book
Author
Publisher
Language
English
Pages
184
Format
Paperback
Dimensions
22.9x15.2x1.1 cm
Weight
0.28 kg.
ISBN13
9786207476015
Categories

Mastering Machine Learning for Data Scientists

N. Rama Rao (Author) · Aditya Mahamkali (Author) · LAP Lambert Academic Publishing · Paperback

Mastering Machine Learning for Data Scientists - Rama Rao, N. ; Mahamkali, Aditya

New Book Imported to Netherlands
Delivery: 21 Oct - 23 Oct Shipping: 13 to 14 business days.
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Synopsis "Mastering Machine Learning for Data Scientists"

In this book we embark on a fascinating journey through various techniques and algorithms crucial for modern data scientists. As the field of data science rapidly evolves, machine learning stands as a cornerstone technology, facilitating organizations in extracting valuable insights from vast datasets to drive informed decision-making. Whether you're a seasoned data scientist seeking to deepen your expertise or a newcomer eager to explore the world of machine learning, this book is tailored to meet your needs. Structured around twelve comprehensive chapters, each focusing on a specific aspect of machine learning. From Supervised Machine Learning to Unsupervised Machine Learning, Ensemble Machine Learning, and Self-Supervised Learning, each chapter delves into essential concepts and practical applications, providing clear explanations and hands-on examples to aid comprehension and skill development. Whether you're looking to understand the fundamentals of supervised learning, uncover hidden patterns with unsupervised techniques, harness the power of ensemble methods, or explore cutting-edge self-supervised learning approaches.

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