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Adventures in Machine Learning
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Seasoned pro or complete beginner, everyone can join our weekly Adventures in Machine Learning podcast. We're covering all the breakthroughs, influencers, and resources of Machine Learning with our venturesome AI panel and guests. We discuss advanced concepts in plain English. This is the AI podcast you've been looking for.Intentional Excellence Productions, LLC
Episodios
  • Exploratory Data Analysis (EDA) in Machine Learning - ML 075

    Exploratory Data Analysis (EDA) in Machine Learning - ML 075
    Jun 9 2022
    EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate. Today on the show, Ben and Michael discuss how to use EDA in machine learning models.

    In this episode...

    1. What is EDA?
    2. Tips and Tricks and steps for EDA
    3. How to approach downsampling
    4. Understanding feature sets relative to your labels
    5. Optimizing models
    6. Motivating yourself to get into the data
    7. Tools for EDA
    8. A few scenarios for discussion
    9. What is the most detrimental EDA mistake for ML

    Sponsors

    • Top End Devs
    • Coaching | Top End Devs
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  • Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072

    Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072
    May 18 2022

    Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation engines. The first is about a free on-line tutoring service for underserved communities called “Learn to Be”, and the second centers around the online course provider “Coursera”. Ben and Michael set up the case studies with fundamental problem statements, followed by their various approaches to executing the objectives to achieve the desired process outcomes.

    Sponsors
    • Top End Devs
    • Coaching | Top End Devs

    Sponsored By:

    • Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams
    • Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.
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  • Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039

    Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039
    Jul 29 2021

    Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do.

    Panel

    • Ben Wilson
    • Charles Max Wood
    • Daniel Svoboda
    • Francois Bertrand

    Guest

    • Ekrem Aksoy

    Sponsors

    • Dev Influencers Accelerator

    Links

    • Attention to Transformers
    • Attention in the Human Brain and Its Applications in ML
    • See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving
    • Ekrem Aksoy - Medium
    • Ekrem Aksoy, PhD - Gradient
    • LinkedIn: Ekrem Aksoy

    Picks

    • Ben- Read all the blog posts in this episode
    • Charles- Accounting software | Xero
    • Charles- The Prosperous Coach
    • Daniel- Debt - Updated and Expanded: The First 5,000 Years 
    • Ekrem- The Book of Why: The New Science of Cause and Effect
    • Ekrem- Attention in Psychology, Neuroscience, and Machine Learning

    Contact Ben:

    • Databricks
    • GitHub | BenWilson2/ML-Engineering
    • GitHub | databrickslabs/automl-toolkit
    • LinkedIn: Benjamin Wilson

    Contact Charles:

    • Devchat.tv
    • DevChat.tv | Facebook
    • Twitter: DevChat.tv ( @devchattv )

    Contact Francois:

    • Francois Bertrand
    • GitHub | fbdesignpro/sweetviz
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