Simplified Bayes’s Theorem
Bayes’s theorem is the fundamental concept behind Bayesian statistics and there are several machine learning and deep learning algorithm depends upon Bayes’s theorem like Naive [continue reading..]
Bayes’s theorem is the fundamental concept behind Bayesian statistics and there are several machine learning and deep learning algorithm depends upon Bayes’s theorem like Naive [continue reading..]
[table id=1 /] These all questions implies the answer would be quantitative or continuous in nature. Linear regression is the fundamental topic for the predicting [continue reading..]
I was very confused when i started machine learning because i hadn’t idea where to start,which algorithm should be learn,how to classify the algorithm on [continue reading..]
Regularization is a collection of techniques that can be used to prevent over-fitting(It could be memorizes relations and structures that are noise and coincidence). Regularization [continue reading..]
Actually Blockchain is also called new internet and backbone of web version 3.0 becauseĀ it allowing digital information to be distributed but not copied, blockchain technology [continue reading..]
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