is is too late to learn machine learning?

Machine learning becomes famous lately, many people are learning Machine learning because of the potential in the era of AI. On this post, i want to share some highly recommended books for beginners in machine learning. 

  • "Machine Learning for Absolute Beginners" by Oliver Theobald: This book is perfect for those with no coding experience or background in math. It's written in plain English and covers the basics of machine learning.
  • "The Hundred-Page Machine Learning Book" by Andriy Burkov: A concise introduction to machine learning, covering both theory and practice in just over 100 pages.
  • "Machine Learning for Dummies" by John Paul Mueller and Luca Massaron: This book provides a comprehensive introduction to machine learning concepts and techniques, making it accessible for beginners.
  • "Introduction to Machine Learning with Python: A Guide for Data Scientists" by Andreas C. Müller and Sarah Guido: Ideal for beginners with some Python experience, this book offers a hands-on approach to learning machine learning.
  • "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron: This book is great for those who want to dive into practical applications of machine learning using popular Python libraries.
  • "Machine Learning in Action" by Peter Harrington: A practical guide that walks you through building machine learning models with clear examples and code.
  • "Fundamentals of Machine Learning for Predictive Data Analytics" by John D. Kelleher, Brian Mac Namee, and Aoife D'Arcy: This book provides a more in-depth theoretical understanding of machine learning.
  • "Data Mining: Practical Machine Learning Tools and Techniques" by Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal: A comprehensive guide to data mining and machine learning techniques.
My tips
  • choose at least two books for your journey
  • after reading the book. try to install visual studio cods to practices
  • after finishing the book try to learn the implementation in Azure, AWS, or others
enjoy your days!

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