Linkedin – Learning Essential Math Machine Learning Python Edition

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

Buy Long-term Premium Accounts To Support Me & Max Speed

DOWNLOAD:


If any links die or problem unrar, send request to goo.gl/aUHSZc
About WoW Team

I'm WoW Team , I love to share all the video tutorials. If you have a video tutorial, please send me, I'll post on my website. Because knowledge is not limited to, irrespective of qualifications, people join hands to help me.

Speak Your Mind

This site uses Akismet to reduce spam. Learn how your comment data is processed.