This online course explores advanced statistical machine learning. You will discover where machine learning techniques are used in the data science project workflow. You will then look in detail at supervised learning statistical modeling algorithms for classification and regression problems, examining how these algorithms are related, and how models generated by them can be tuned and evaluated. You will also look at feature engineering and how to analyse sufficiency of data.
|Offered by: Persontyle||Level: Basic|
|Location: Online||Type: Free|
|Language: English||License: N/A|
|Gained skills: advanced machine learning; supervised learning; unsupervised learning; semi-supervised learning; reinforcement learning; data pre-processing; feature engineering; management of missing data; statistical models||Target audience: ICT professionals; ICT students|
|Required skills: statistics; linear algebra; calculus; information theory|