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deep learning prerequisites logistic regression python

Type:: Other
Files:: 4
Size:: 738.9 MB
Uploaded On:: June 12, 2019, 9:31 a.m.
Added By:: tuts756
Seeders:: 2
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Info Hash:: A20CFCC713A7A4EE0EBBD0CD4DBB777BF762FD80

Description This course is a lead-in to deep learning and neural networks – it covers a popular and fundamental technique used in machine learning, data science and statistics: logistic regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own logistic regression module in Python. Who this course is for: Adult learners who want to get into the field of data science and big data Students who are thinking of pursuing machine learning or data science Students who are tired of boring traditional statistics and prewritten functions in R, and want to learn how things really work by implementing them in Python People who know some machine learning but want to be able to relate it to artificial intelligence People who are interested in bridging the gap between computational neuroscience and machine learning Requirements You should know how to take a derivative You should know some basic Python coding Install numpy and matplotlib Last updated 10/2018

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deep learning prerequisites logistic regression python

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