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Linkedin Learning Essential Math Machine Learning Python Edition - aretr - 09-20-2019 Linkedin - Learning Essential Math Machine Learning Python Edition-SHEPHERDS English | Size: 439.51 MB Category: Tutorial Linkedin - Learning Essential Math Machine Learning Python Edition Core mathematical concepts such as single-variable calculus, multivariable calculus, matrices, and linear algebra are the underpinnings of all machine learning algorithms. And for many professionals with an interest in machine learning and AI, revisiting these concepts can be a bit intimidating. This course demystifies the essential math that you need to grasp-and implement-in order to write machine learning algorithms in Python. Review fundamental algebraic concepts; derivatives and optimization; statistics; and the basics of probability. Topics include: Exponentials, radicals, and logarithms Performing arithmetic operations on polynomials Rates of change Using derivatives to analyze functions Multiplying vectors and matrices Solving systems of equations with matrices Visualizing data Confidence intervals DOWNLOAD Code: http://nitroflare.com/view/D48A8C019FAE848/ptwrh.Linkedin..Learning.Essential.Math.Machine.Learning.Python.Edition.rar Code: https://rapidgator.net/file/723cce6410e77ddf6471d09467176120/ptwrh.Linkedin..Learning.Essential.Math.Machine.Learning.Python.Edition.rar |