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    Correlation vs. Causation: Different Types of Machine Learning Problems

    Duration: 120 minutes Hosts: Artur Machno, Data Scientist/Senior Consultant, DS & AI Practice Team This session is offered as a scheduled group session with our expert.
    Ask for available time slots
    Correlation vs Causation-1
    Correlation vs Causation-2

    What to expect

    In this presentation, you will gain a thorough understanding of the different types of machine learning (ML) problems, including descriptive, inferential, predictive, and causal problems as well as their applications in business. The course will equip you with the knowledge and skills to make data-driven decisions and leverage ML to drive business growth and gain a competitive advantage.

    Challenges with ML

    Business Applications

    Data and Skill Requirements

    ML Strategy Development

    Develop a comprehensive understanding of the different types of ML problems.

    See how different ML models are used in business.

    Learn the data and skill requirements for building, using, and maintaining different types of ML models.

    Discover how to develop effective ML strategies and drive innovation in your organization.

    Challenges with ML

    Business Applications

    Develop a comprehensive understanding of the different types of ML problems.

    See how different ML models are used in business.

    Data and Skill Requirements

    ML Strategy Development

    Learn the data and skill requirements for building, using, and maintaining different types of ML models.

    Discover how to develop effective ML strategies and drive innovation in your organization.

    Challenges with ML

    Develop a comprehensive understanding of the different types of ML problems.

    Business Applications

    See how different ML models are used in business.

    Data and Skill Requirements

    Learn the data and skill requirements for building, using, and maintaining different types of ML models.

    ML Strategy Development

    Discover how to develop effective ML strategies and drive innovation in your organization.

    Machno
    Machno

    About Our Speaker

    Artur Machno holds over a decade of experience in data science, applying his expertise in a range of sectors such as banking, gambling, and FMCG. He has a doctorate in quantitative finance, reflecting his deep interest in the application of quantitative methods. As an assistant professor, Artur combines teaching and research at AGH University, bridging the gap between theory and practice.

    Ask for available time slots

    Fill in and submit this form to signify your interest. Within two days of registering, a representative will reach out to you to discuss your team’s knowledge needs and provide available time slots for you to choose from.
     

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