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Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation

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Keith McCormick

1:02:01

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  • 01 - Meet the human-in-the-loop.mp4
    00:44
  • 01 - Human-in-the-loop is everywhere.mp4
    02:53
  • 02 - What is supervised machine learning.mp4
    02:49
  • 03 - Defining human-in-the-loop.mp4
    03:39
  • 04 - The rise of human-in-the-loop.mp4
    03:42
  • 01 - Healthcare use cases.mp4
    04:21
  • 02 - Autonomous use cases.mp4
    04:54
  • 03 - Natural language use cases.mp4
    03:06
  • 04 - Reinforcement learning with human feedback (RLHF).mp4
    04:34
  • 01 - The world of data annotation vendors.mp4
    02:35
  • 02 - Data annotation as a skill.mp4
    02:45
  • 03 - The ethics of data annotation.mp4
    06:05
  • 04 - Data annotation software vendors.mp4
    03:00
  • 01 - Quality control.mp4
    04:17
  • 02 - Sampling.mp4
    02:03
  • 03 - Considerations when managing your own project.mp4
    03:22
  • 04 - Being data-centric.mp4
    05:53
  • 01 - Next steps.mp4
    01:19
  • Description


    Human-in-the-loop machine learning is all about continuous learning. And as a process, it’s becoming an increasingly common and critical component of emerging technologies. From healthcare analytics and computer vision to autonomous vehicles and natural language processing, human-in-the-loop machine learning is everywhere, but it’s still widely misunderstood. This course is intended to fill those gaps and quickly get you up to speed. Join instructor Keith McCormick as he explores the industry that has arisen to support this challenge, why it's so important, and how it relates to real-world tasks in data annotation. Discover some of the most common use cases within the larger human-in-the-loop ecosystem. Along the way, Keith shows you how to successfully implement and manage your own data annotation project, including basic skills required for quality control, sampling, active learning, and bias prevention.

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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 18
    • duration 1:02:01
    • English subtitles has
    • Release Date 2024/02/15