Genre: eLearning | MP4 + Subtitles | Video:AVC 1280 x 720 | Audio: AAC 48.0 KHz
Language: English | Size: 391mb | Duration: 1hr 48m
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
[/i]Homepage
[i]Screenshots
Buy Premium Account for Download With Full Speed:
rapidgator_net:
https://rapidgator.net/file/2f6a6234fe919083cc62d03ae4a86ed0
nitroflare_com:
http://nitroflare.com/view/ED67F033C6CE932/Essential_Math_for_Machine_Learning__Python_Edition_Sanet.lc.rar
https://rapidgator.net/file/2f6a6234fe919083cc62d03ae4a86ed0
nitroflare_com:
http://nitroflare.com/view/ED67F033C6CE932/Essential_Math_for_Machine_Learning__Python_Edition_Sanet.lc.rar
Links are Interchangeable - No Password - Single Extraction
