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With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for ...
My recommendation: Read Practical Statistics for Data Scientists after going through an introductory book on data science and machine learning.
In an era when data drives decisions, mastering machine learning has become essential across industries and academia. From making better business decisions to developing advanced materials, machine ...
Also to be able to read books and papers and to understand the theory behind machine learning you will need to have some knowledge of math.
Using Real-World Data for Machine-Learning Algorithms to Predict the Treatment Response in Advanced Melanoma: A Pilot Study for Personalizing Cancer Care. If you have the appropriate software ...
This book explains what it covers very well, but in a field that's moving as fast as big data and machine learning, its sound but rather traditional approach may soon look a little dated.
In the sixty years since Arthur Samuel first published his seminal machine learning work, artificial intelligence has advanced from being not as smart as a flatworm to having less common sense ...
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