Artículos relacionados a Machine Learning Essentials You Always Wanted to Know:...

Machine Learning Essentials You Always Wanted to Know: A Hands-On Beginner's Guide to Mastering AI, Supervised, Unsupervised, and Deep Learning Algorithms (Self-Learning Management Series) - Tapa blanda

Libro 42 de 77: Self-Learning Management Series

Parikh, Dhairya; Publishers, Vibrant

 
9781636513775: Machine Learning Essentials You Always Wanted to Know: A Hands-On Beginner's Guide to Mastering AI, Supervised, Unsupervised, and Deep Learning Algorithms (Self-Learning Management Series)
Tapa blanda
ISBN 10: 1636513778 ISBN 13: 9781636513775
Editorial: Vibrant Publishers, 2025

Sinopsis

A Hands-On Beginner’s Guide to Mastering AI, Supervised, Unsupervised, and Deep Learning Algorithms. A Beginner's Guide to Machine Learning with Hands-on Coding and Real-World Applications

  • Covers key algorithms and techniques
  • Ideal for students and professionals
  • Hands-on implementation included


Master the fundamentals of ML and take the first step towards a career in AI!

In today’s rapidly evolving world, machine learning (ML) is no longer just for researchers or data scientists. From personalized recommendations on streaming platforms to fraud detection in banking, ML powers many aspects of our daily lives. As industries increasingly adopt AI-driven solutions, learning machine learning has become a valuable skill. Yet, many find the subject overwhelming, often intimidated by its mathematical complexity. That’s where Machine Learning Essentials You Always Wanted to Know (Machine Learning Essentials) comes in. This beginner-friendly guide offers a structured, step-by-step approach to understanding machine learning concepts without unnecessary jargon. Whether you are a student, a professional looking to transition into AI, or simply curious about how machines learn, this book provides a clear and practical roadmap to mastering ML.

Authored by Dhairya Parikh, an experienced data engineer who returned to academia to refine his expertise, this book bridges the gap between theory and real-world application. It simplifies the core concepts of ML, breaking them down into digestible explanations paired with hands-on coding exercises to help you apply what you learn.

What You’ll Learn:
  • The fundamentals of machine learning and how it powers modern technology
  • The three key types of ML—Supervised, Unsupervised, and Reinforcement Learning
  • How to combine algorithms, data, and models to develop AI-driven solutions
  • Practical coding techniques to build and implement machine learning models


Part of Vibrant Publishers’ Self-Learning Management Series, this book serves as a valuable guide for building machine learning skills, enhancing your expertise, and advancing your career in AI and data science.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca de los autores

Dhairya Parikh is a seasoned data engineer, a graduate of the University of Waterloo, and a technical writer with expertise in AI, data science, and practical ML applications.

Vibrant Publishers is focused on presenting the best texts for learning about technology and business as well as books for test preparation. Categories include programming, operating systems and other texts focused on IT. In addition, a series of books helps professionals in their own disciplines learn the business skills needed in their professional growth.Vibrant Publishers has a standardized test preparation series covering the GMAT, GRE and SAT, providing ample study and practice material in a simple and well organized format, helping students get closer to their dream universities.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Vibrant Publishers
Año de publicación
2025
Idioma
Inglés
ISBN 10 
1636513778
ISBN 13 
9781636513775
Encuadernación
Tapa blanda
Número de páginas
274
Contacto del fabricante
Manufactured by Amazon on behalf of the author
https://www.amazon.es/hz/contact-us

c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy
Luxembourg
L-1855
Luxemburgo