103 episodes
Adventures in Machine Learning Ben Wilson, Michael Berk
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- Education
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3.0 • 2 Ratings
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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.
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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 -
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 -
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 -
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 -
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 -
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
Customer Reviews
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.