reviews Books Related Topics 
insideBIGDATA
JUNE 23, 2023
Now, there are two excellent books to lead you through the Kaggle process. The Kaggle Book by Konrad Banachewicz and Luca Massaron published in 2022, and The Kaggle Workbook by the same authors published in 2023, both from UK-based Packt Publishing, are excellent learning resources.
insideBIGDATA
APRIL 11, 2023
If you're interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you. One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is "Math for Deep Learning" by Ronald T. Kneusel from No Starch Press.
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insideBIGDATA
JANUARY 22, 2024
I was pleased to receive a review copy of this new title from Cambridge University Press, "A Hands-on Introduction to Machine Learning." The hardcover book is very attractive, well-produced and solid! It will weigh down your backpack for sure.
Analytics Vidhya
MARCH 24, 2023
In one such attempt, LinkedIn Co-Founder, Reid Hoffman, has published an entire book with the help of GPT-4. The book titled, “Impromptu: Amplifying Our […] The post GPT-4 Co-Writes First Book | What’s In It? Review & Summary appeared first on Analytics Vidhya.
insideBIGDATA
MAY 13, 2024
The following book excerpt is by Cristina Alaimo and Jannis Kallinikos, leading scholars working at the intersection of information systems and organizational studies and co-authors of DATA RULES: Reinventing the Market Economy (MIT Press; June 4, 2024).
insideBIGDATA
FEBRUARY 23, 2023
Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work. The methods […]
KDnuggets
MAY 23, 2022
The book consists of 200 actionable Python insights with a detailed explanation of how to write elegant, compelling, and expressive code.
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