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Master statistics & machine learning: intuition, math, code

Master statistics & machine learning: intuition, math, code

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 12.3 GB | Duration: 207 lectures (35:00:15)

What you’ll learn
Descriptive statistics (mean, variance, etc)
Inferential statistics
T-tests, correlation, ANOVA, regression, clustering
The math behind the “black box” statistical methods
How to implement statistical methods in code
How to interpret statistics correctly and avoid common misunderstandings
Coding techniques in Python and MATLAB/Octave
Machine learning methods like clustering, predictive analysis, classification, and data cleaning

Requirements
Good work ethic and motivation to learn.
Previous background in statistics or machine learning is not necessary.
Python -OR- MATLAB with the Statistics toolbox (or Octave).
Some coding familiarity for the optional code exercises.
No textbooks necessary! All materials are provided inside the course.
Description
Statistics and probability control your life. I don’t just mean What YouTube’s algorithm recommends you to watch next, and I don’t just mean the chance of meeting your future significant other in class or at a bar. Human behavior, single-cell organisms, Earthquakes, the stock market, whether it will snow in the first week of December, and countless other phenomena are probabilistic and statistical. Even the very nature of the most fundamental structure of the universe is governed by probability and statistics.

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