Machine Learning Techniques for Advanced Data Analysis

Understanding and leveraging Machine Learning is crucial for anyone looking to make significant impacts in industry, research, and government alike.
Start date
11-08-2025
Duration
5 days
Price
DKK 23,000
Registration deadline
Closed for registration

As Machine Learning (ML) becomes indispensable across various sectors, understanding and leveraging this technology is crucial for anyone looking to make significant impacts in industry, research, and government alike. The surge in data availability has transformed ML into an essential tool for cutting-edge problem solving and discovering untapped opportunities. Yet, the journey through the vast ML landscape presents unique challenges, including data integrity and bias mitigation.

This course is crafted to position you at the vanguard of applied machine learning, offering a curriculum that spans from core principles to more advanced techniques in data analysis based on cutting-edge research and extensive experience. These are put in context with real world examples, with discussions of algorithm training and implementation, along with biases and ethics.

Our award-winning course instructor guarantees you'll acquire crucial insights for effectively utilizing machine learning (ML) and excelling in applying ML algorithms to either the dataset we provide or your own. This is all achieved with the backing of our educational specialists. Should you bring your own dataset, we aim to ensure you depart with an operational ML model that you can continue to refine independently. For this, we will offer you reliable methods for tackling issues using ML, employing techniques that do not necessitate an extensive background in the field.

Start your journey towards becoming a data-driven innovator and elevate your professional profile. This course will equip you with the skills to apply ML solutions, whether your goal is to drive innovation in the private sector or implement transformative changes in public services. Join us to become a Machine Learning practitioner, ready to tackle the challenges of tomorrow and excel in the dynamic landscape of data analysis.

Best course I ever been to.

Course participant

Course directors - Machine Learning Techniques

Course details - Machine Learning Techniques

 

 

 

 

 

 

Location

University of Copenhagen
South Campus, Faculty of Law
Njalsgade 76
DK-2300 Copenhagen S
Denmark

Contact

Copenhagen Summer University
csu@adm.ku.dk
+45 3533 3423

Time and Date

12-16 August 2024

09:00-16:30

Really good teachers, very good at explaining and applying it to real data/problems.

Course participant

Variety of methods covered with examples from real world.

Course participant

Very good general overview of ML, I fell much more confident in applying the techniques in my projects..

Jan Dudek, Data Analyst, Ministry of Health of the Slovak Republic