Mathematics and Statistics for Machine Learning by Govind Kumar
Requirements: .MOBI reader, 5 MB
Overview: Machine Learning (ML) is a wonderful field at the intersection of computer programming, mathematics and domain knowledge. The author has observed that many budding machine learning students and enthusiasts make the mistake of jumping to build and work on algorithms without adequately understanding the math behind algorithms. That is not the right way to go about learning machine learning. One must first understand the mathematics and statistics concepts relevant to machine learning. The algorithms and the associated programming should be learnt subsequently. By mathematics, we are not referring to theoretical mathematics but rather applied mathematics.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/4cy1ce7b4xyo
https://uploadrar.com/y9ofb0lgkisu
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Requirements: .MOBI reader, 5 MB
Overview: Machine Learning (ML) is a wonderful field at the intersection of computer programming, mathematics and domain knowledge. The author has observed that many budding machine learning students and enthusiasts make the mistake of jumping to build and work on algorithms without adequately understanding the math behind algorithms. That is not the right way to go about learning machine learning. One must first understand the mathematics and statistics concepts relevant to machine learning. The algorithms and the associated programming should be learnt subsequently. By mathematics, we are not referring to theoretical mathematics but rather applied mathematics.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/4cy1ce7b4xyo
https://uploadrar.com/y9ofb0lgkisu
Trouble downloading? Read This.