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Machine Learning, AI, and Automation

Explore Artificial Intelligence (AI) and Machine Learning Content

Artificial intelligence combined with machine learning allow your organization to analyze data quickly, create test data faster, and find patterns in your data with ease. This section focuses on the promise and problems of this technology and how you can put it to use ethically and effectively.

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  • Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights

    Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process. learn more

  • Hands-On: Logistic Regression Made Easy with Excel

    In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel. learn more

  • Hands-On: Machine Learning Made Easy - No, Really!

    In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers. learn more

  • Introduction to Machine Learning

    Machine learning encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of machine learning. The tendency, however, is to focus primarily on the technology rather than the process. learn more

  • DataOps: Best Practices for Agile Data Management

    DataOps needs to deliver consistent and meaningful data which means automating the data lifecycle of acquisition, understanding, integration, transformation, and deployment. This session will address best practices that contribute to consistent and automated analytics results. learn more

  • Hands-On Machine Learning Made Easy - No, Really!

    In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers. learn more

Upcoming TDWI Virtual Summit Sessions