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Machine Learning and AI Foundations: Advanced Decision Trees with KNIME

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Keith McCormick

1:33:00

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  • 01 - Advanced decision trees.mp4
    01:07
  • 02 - What you should know.mp4
    01:15
  • 03 - Using the exercise files.mp4
    01:30
  • 01 - Why are trees considered greedy algorithms.mp4
    03:31
  • 02 - Why are there so many algorithms.mp4
    01:43
  • 03 - Five low node or no code options in KNIME.mp4
    04:06
  • 01 - Installing extensions.mp4
    02:23
  • 02 - WEKA LMT demonstration.mp4
    05:42
  • 03 - Interpreting the LMT results.mp4
    04:02
  • 01 - Comparing trees and rule induction.mp4
    03:30
  • 02 - Rule induction demo.mp4
    02:10
  • 03 - Interpreting the rules.mp4
    03:46
  • 01 - Low code options in KNIME.mp4
    05:59
  • 02 - Python script node demo.mp4
    04:35
  • 03 - CHAID demo in KNIME.mp4
    08:28
  • 04 - Advanced code options in KNIME (optimal sparse trees).mp4
    02:50
  • 01 - Introducing random forest.mp4
    02:49
  • 02 - Random forests demo.mp4
    06:58
  • 03 - Comparing two models.mp4
    06:43
  • 01 - Data reduction with random forests.mp4
    06:17
  • 02 - The XAI view node.mp4
    06:15
  • 03 - Deployment.mp4
    05:51
  • 01 - Final thoughts and recommendations.mp4
    01:30
  • Description


    Every year, it seems, there is a new hot trend in data science. One of the hottest predictive analytics algorithms this year is gradient-boosted trees. One cannot hope to understand why it is popular and successful if one doesn’t understand the basics of decision trees. Specific tree algorithms have risen and fallen in popularity, but the core concepts have been fundamental to the discipline for at least 30 years. In this course, instructor Keith McCormick demonstrates and discusses a half-dozen popular decision tree algorithms. Keith shows how to access them using other open-source options from within the KNIME platform. He explains them and reverse engineers them to create a solid foundation on which to build more advanced data science skills.

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    Keith McCormick
    Keith McCormick
    Instructor's Courses
    I'm an independent consultant, trainer, speaker, and author of seven books. My consulting specializes in helping analytics leaders build and manage their data science teams. My training, including 20 LinkedIn Learning courses and frequent conference workshops, has reached 1000s of individuals trying to learn statistics, machine learning, and data science. I love that I am able to train and consult. Training allows me to interact with (and learn from) 100s of clients in dozens of industries every year. It prevents me from obtaining too narrow a focus, and it keeps me current. Consulting allows me to work with a smaller number of clients in detail and in-depth, working with them on real problems of immediate concern to them. It keeps me sharp. If you've encountered me through my LinkedIn Learning courses, please consider following me here on LinkedIn. I'm not able to connect with everyone, so I connect only with clients and colleagues that I know directly. But please do follow me here because I'm quite active on LinkedIn and frequently post excerpts from the courses and other content. Follow #freefirstfridays to see when I post a link to watch a course for free. My favorite kind of consulting work involves: - working with analytics management to create effective data science teams - listening carefully to my client explain their business in detail - turning their description into a research question that can be answered with their data - coaching my client on presenting possible solutions to decision-makers - working behind the scenes to get the solution deployed Specialties: For the last several years, my emphasis has been working with analytics management to more efficiently run their teams and to nurture new hires as they expand their teams. I am skilled at explaining complex methods to new users or decision-makers and can do so at any level of technical detail. I specialize in predictive models and segmentation analysis, including classification trees, neural nets, general linear model, cluster analysis, and association rules. Books and Courses The best way to find out more about me is to check out my courses on LinkedIn Learning. They have received over 500,000 views, and each one has some free content. My books can be found on Amazon, and typically that allows you to view some free content as well. I'm very proud of all of this content (listed below in my profile), but I am still primarily an active consultant. If you need consulting help, private training, or a keynote speaker, contact me, and we can discuss.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 23
    • duration 1:33:00
    • Release Date 2022/12/31