103 episodes

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

Adventures in Machine Learning Ben Wilson, Michael Berk

    • Education
    • 3.0 • 2 Ratings

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

    Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083

    Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083

    Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and showcasing their existing data-related talents.  Today on the show, Michael interviews Adam to share his various strategies and approaches on how to become a data scientist or make advanced changes in the data science career path.

    In this episode…

    The “distributed portfolio approach” vs. professional portfolio 
    Leveraging each platforms strengths 
    Creating a personal brand
    Find others to network and connect with
    Create a Rosetta stone in your programming language
    Pandas-profiling to contribute to the community
    Working with a career coach
    Asking the right interview questions

    Sponsors
    Top End Devs
    Coaching | Top End Devs

    Links
    Data Science Projects Accepting Community Contributions | by Adam Ross Nelson | May, 2022 | Towards Data Science
    Adam Ross Nelson
    LinkedIn: Adam Ross Nelson
    Twitter: @AdamRossNelson

    • 52 min
    Bioinformatics and Programming with Ken Youens-Clark - ML 082

    Bioinformatics and Programming with Ken Youens-Clark - ML 082

    Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming, plus his career progressions including jazz drumming, technical writing, programming, academia, writing books, and solutions engineering.  

    In this episode…

    Writing tests and type annotations
    Project development lifecycle
    Grading programmers with pass / fail
    Soft skills within the industry
    Bioinformatics and computer science
    Prototyping and improving efficiencies
    Connect with Ken Youens-Clark via email and LinkedIn

    Sponsors
    Top End Devs
    Coaching | Top End Devs

    Links
    Mastering Python for Bioinformatics
    Command-Line Rust
    GitHub - kyclark/command-line-rust
    LinkedIn: Ken Youens-Clark
    GitHub: kyclark

    • 53 min
    Building AI Data Responsibly with Edouard d’Archimbaud - ML 081

    Building AI Data Responsibly with Edouard d’Archimbaud - ML 081

    Data excellence is the foundation of better AI.  Today on the show, Michael Berk interviews Edouard d’Archimbaud, co-founder of Kili Technology, a Training Data Platform that turns raw, unstructured data to high-quality training data, at scale.  Enjoy this engaging conversation about building AI responsibly on a foundation of good data. 
    In this episode…

    What is cautious AI and trustworthy AI?
    Defining clean data vs. diverse data
    Image classification
    How was Kili founded?
    How does the labeler and model work together?
    Algorithms and model structures  
    Scaling with large data sets

    Sponsors
    Top End Devs
    Coaching | Top End Devs

    Links
    Kili Technology
    Blog posts
    LinkedIn: Edouard d'Archimbaud

    • 41 min
    From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080

    From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080

    Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering.  Today on the show, Ben interviews Jesse to learn why and how he made this pivot, plus relevant career advice for all developers.  Specific topics include taking ownership of your work, being comfortable making mistakes, and how to stretch yourself every day.

    In this episode…

    Taking ownership
    Being comfortable taking risks and making mistakes
    From back end to front end development
    Self taught and self paced
    Dunning-Kruger effect
    Continually growing and learning



    Sponsors
    Top End Devs
    Coaching | Top End Devs

    Links
    The Most Important Thing I Did to Become a Senior Developer
    Jesse Langford
    LinkedIn: Jesse Langford

    • 45 min
    Hyperparameter Tuning for Machine Learning Models - ML 079

    Hyperparameter Tuning for Machine Learning Models - ML 079

    When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best possible outcomes.  Parameters that define the model architecture are referred to as hyperparameters and the process of searching for the ideal model architecture is referred to as hyperparameter tuning.  Today on the show, Ben and Michael discuss hyperparameter tuning and how to implement this into your ML modeling.

    In this episode…

    Why do we tune?
    Optimizing the models
    Hyperparameter tuning
    Steps for tuning
    Data splits
    Linear based models
    How do you know when you know enough?
    Basic rules of thumb
    Buffer in time for spikes
    Grid searching and automation

    Sponsors
    Top End Devs
    Coaching | Top End Devs

    • 51 min
    Ask Me Anything (AMA) with Host Ben Wilson - ML 078

    Ask Me Anything (AMA) with Host Ben Wilson - ML 078

    Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry, strategy, and approaches in data science and ML engineering.
    In this episode…

    Why should people trust you?
    What will you lose by hearing about other people’s failures vs. personally failing to learn?
    How do you view the current industry?
    Do you think data scientists and ML engineers are overpaid?
    What are 3 things important to ROI?
    How do you set the tone for culture?

    Sponsors
    Top End Devs
    Coaching | Top End Devs

    LinksMachine Learning Engineering in Action

    • 47 min

Customer Reviews

3.0 out of 5
2 Ratings

2 Ratings

Woodywoodpecker22 ,

Bonus Episode Scam

I downloaded this podcast to learn more about machine learning. Today I listened to my first and maybe my last episode of the podcast. It was a bonus episode about increasing productivity. It gave a couple useful tips but overall it was a 47 minute set up and sales pitch. The host and the guest were peddling a special $500 sale on “productivity system”. You would think there would be more self-awareness on an episode that’s geared toward people looking to increase productivity. Just be up front and say what’s going on, it was frustrating to listen to the entire episode it then realize in the reveal during the last 5-10 mins that it was all a set up to sell something.

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