Introduction to Python Programming for Machine Learning & AI

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Introduction to Python Programming for Machine Learning & AI

Bachelor-level lecture aimed to strike a balance between teaching students how to code in Python and conveying the foundations of modern data analysis.

  • 0 Rating
  • 0 Reviews
  • 122 Students Enrolled
  • Free
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Course Content

3 courselets

Requirements

  • no specific requirements basic understanding of descriptive statistics and multivariate analysis is welcome

General Overview

Description

Learning objectives:

  • Students are familiar with the Python programming language and know the Python ecosystem for data analysis and machine learning.
  • Students understand general-purpose programming concepts such as object-orientation.
  • Beyond acquiring programming abilities, students understand the fundamentals of machine learning and AI.
  • Students know typical applications of the corresponding methods in industry and business research and have hands-on skills with employing Python libraries for machine learning to solve data-oriented business decision problems.

Meet the instructors !

instructor
About the Instructor

Stefan received a PhD from the University of Hamburg in 2007, where he also completed his habilitation on decision analysis and support using ensemble forecasting models in 2012. He then joined the Humboldt-University of Berlin in 2014, where he heads the Chair of Information Systems at the School of Business and Economics. He serves as an associate editor for the International Journal of Business Analytics, Digital Finance, and the International Journal of Forecasting, and as department editor of Business and Information System Engineering (BISE). Stefan has secured substantial amounts of research funding and published several papers in leading international journals and conferences. His research concerns the support of managerial decision-making using quantitative empirical methods. He specializes in applications of (deep) machine learning techniques in the broad scope of marketing and risk analytics. Stefan actively participates in knowledge transfer and consulting projects with industry partners; from start-up companies to global players and not-for-profit organizations.