The Art of Machine Learning: A Hands-On Guide to Machine Learning with R

The Art of Machine Learning: A Hands-On Guide to Machine Learning with R
by Norman Matloff (Author)

I have a strong opinion about this book, and obviously it did not meet my expectations. I am just going to highlights several key areas where I believe the book falls short, including the lack of relevant information, disorganized content, insufficient coverage of R programming, and misleading use of some of key terms including “Art.”

I will keep this review of the book brief. Fortunately, I didn’t have to pay for it, as I was able to find it on my local library’s bookshelf. The book repeatedly promises to deliver information but fails to do so. I also think the book is not well-structured, with significant amounts of unnecessary filler text, possibly added just to reach a certain word count. The provided sample data is not helpful at all, and referencing R seems misleading, as the book barely touches upon any aspects of R, even in the context of machine learning. I’m genuinely uncertain about the use of the word “art” in the title, as the book offers only a limited perspective on the entire concept of machine learning, in my humble opinion.

I am hoping my honest feedback could help potential readers make an informed decision about whether this book aligns with their needs and interests in the field of machine learning.

Kaveh Mofidi

By Kaveh Mofidi

While he enjoys working with computers and dealing with information security, he believes that our challenges, as humans, extend far beyond infosec and even technology. He says: "The real task is to discover solutions for unlimited clean energy, drinkable water, and addressing the root causes of hunger, war, and injustice. Our primary goal should be to keep our planet livable; that is the true challenge we face on the Earth!"

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