Data Science, Machine Learning, and AI

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Data Science, Machine Learning, and AI

Transform your organization with the latest advancements in machine learning, artificial intelligence, and data science. This page provides access to comprehensive research reports, insightful webinars, hands-on training, expert podcasts, and thought leadership articles. Learn how to deploy machine learning models effectively, harness the power of deep learning, and manage data for AI-driven applications. Discover the tools and strategies to use data science and AI for predictive insights, automation, and innovative solutions that elevate your business.

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Upcoming Webinars on Data Science, Machine Learning, and AI

On-Demand Webinars on Data Science, Machine Learning, and AI

On-Demand Research & Resources

Upcoming In-Person Masterclasses at TDWI Transform 2025 San Diego

Featured Team Training Offerings

  • 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

  • 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

  • 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

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