Adventures in Machine Learning

Jan 02 2025 205 ep. 53 mins 192
Adventures in Machine Learning Podcast artwork

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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A/B Testing with ML ft. Michael Berk - ML 181

Jan 02 2025 45 mins  
Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup.LinksHow to Find Weaknesses in your Machine Learning ModelsLinkedIn: Michael BerkMichael Berk - MediumPicksBen- David Thorne BooksCharles- Shadow HunterMichael- Stuart RussellBecome

Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180

Dec 26 2024 31 mins  
In today's episode, we dive into the critical decision-making process of building versus buying technology solutions, especially when it comes to agentic logic-based frameworks. With the industry still in its early stages, I recommend waiting for managed solutions to mature, while Ben suggests the educational value of simple project builds. They discuss the importance of understand

Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179

Dec 19 2024 54 mins  
Peter Elger and Eóin Shanaghy join Charles Max Wood to dive into what Artificial Intelligence and Machine Learning related services are available for people to use. Peter and Eóin are experts in AWS and explain what is provided in its services, but easily extrapolate to other clouds. If you're trying to implement Artificial Intelligence algorithms, you may want to use or modify a

Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178

Dec 12 2024 72 mins  
In this episode, Ben and Michael explore burnout, particularly in machine learning and data science. They highlight that burnout stems from exhaustion, cynicism, and inefficiency and can be caused by repetitive tasks, overwhelming workloads, or being in the wrong role. They also tackle strategies to combat burnout, including collaborating with others, mentoring, shifting focus betw

The Nature of the World and AI with Rishal Hurbans - ML 177

Dec 09 2024 40 mins  
Rishal Hurbans is the author of Grokking Artificial Intelligence Algorithms. He walks us through how to learn different Machine Learning algorithms. He also then walks us through the different types of algorithms based on different natural systems and processes.LinksKaggle: Your Machine Learning and Data Science CommunityRishal HurbansInktoberBook giveaway linkPicksChuck- Hero with

Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176

Nov 28 2024 55 mins  
In today’s episode, Michael and Ben are joined by industry expert Barzan Mozafari, the CEO and co-founder at Keebo. He delves deep into the evolving landscape of data learning and cloud optimization. They explore how understanding data distribution can lead to early detection of anomalies and how optimizing data workflows can result in significant cost savings and unintended busi

Challenges and Solutions in Managing Code Security for ML Developers - ML 175

Nov 21 2024 51 mins  
Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of machine learning models. This episode focuses on preventing accidental key leaks in notebooks, creating secure environments for code execution, and the pros and cons of various isolation methods like VMs, containers, and micro VMs.They explore the challenges of evaluati

Innovative Security Solutions for Developers - ML 174

Nov 14 2024 58 mins  
They delve into the journeys and insights of distinguished leaders in the development world. In today's episode, Michael engages with Brian Vallelunga, the visionary CEO of Doppler. Brian shares his compelling journey from early tech innovations to leading multiple startups and eventually founding Doppler, a centralized cloud secret management tool.Brian emphasizes the importance o

Peer Review and Career Development - ML 173

Nov 07 2024 68 mins  
In today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his unconventional path, starting with advanced math as a child, then struggling with a math-heavy computer science program in college. He pivoted to environmental studies, focusing on side projects and extracurriculars. These projects led to his first job, and later to a r

Navigating Expertise Gaps - ML 172

Oct 31 2024 76 mins  
In today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in machine learning projects. They explore scenarios where a team lacks expertise, considering approaches for consultants or team members. They discuss various personality types encountered in such situations, including those overly suspicious or resistant to change. Moreove