Master statistics & machine learning intuition, math, code | Udemy
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Statistics and probabilities control your life. I don’t just mean that YouTube’s algorithm recommends you look further, and I don’t just mean the chance to meet your future soul mate in class or in a bar. Human behavior, unicellular organisms, earthquakes, the stock market, whether it will snow in the first week of December, and a host of other phenomena are probabilistic and statistical. Even the very nature of the most fundamental deep structure of the universe is determined by probability and statistics.
Almost all areas of human civilization involve code and numeric computation. This means that many jobs and learning areas are based on the application of statistical and machine learning techniques in programming languages such as Python and MATLAB. This is often referred to as “data science” and is becoming an increasingly important topic.
If you want to become a prospective employee, employer, data scientist, or researcher in any technical field – from data scientist to engineers, from researcher to deep learning modeler – you need to know statistics and machine learning .. And you need to know how to implement concepts such as probability theory and confidence intervals, k-means clustering and PCA, Spearman’s correlation, and logistic regression, in computer languages such as Python or MATLAB.
You should take this course for the following reasons
This course covers everything you need to understand the basics of statistics, machine learning, and data science, from histograms to ANOVA, regression to k-means clustering, t-test to nonparametric permutation testing.
Upon completion of this course, you will be able to understand the wide range of statistical analysis and machine learning analysis, even specific advanced techniques not taught here. This is because you will learn the fundamentals on which best practices are built.
This course combines mathematical rigor with intuitive explanations and hands-on code learning.
I’ve been studying, developing and teaching statistics for 20 years, and I’m kind of really good at math.
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