Hello friends how are you?
Hope
you all are good
I am
starting new blog series on application of mathematics and statistics in artificial
intelligence.
This
blog has objective to inspire the significance of mathematics and learn basic concepts
of its in-data science.
As
we all know that lot of students and individuals are earning machine learning and
data science course and wants to work as data analysts. Mathematics is an
integral part of data science
We
will discuss basic concept of maths, linear algebra, analytical geometry, matrices,
probability, vector calculus, optimizations, statistics etc
I hope
this blog series will help lot of students and individual
Thank
you
1 comment:
Gemini said
Mastering the mathematical foundations of machine learning—specifically linear algebra, calculus, and probability—is essential for building robust algorithms and understanding data behavior. These concepts form the backbone of model optimization and statistical inference. If you find yourself struggling to apply these complex theories to practical coding tasks or model tuning, professional Machine Learning Assignment Help can provide the clarity needed to bridge the gap between abstract math and real-world implementation.
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