Charles M Wood

Adventures in Machine Learning

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. Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support .

Author

Charles M Wood

Category

Technology

Podcast website

topenddevs.com

Latest episode

Apr 4, 2025

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Episodes

Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185 04.04.2025

In this episode, we dive deep into the evolving landscape of digital marketing and brand storytelling. We explore how the intersection of authenticity, community, and technology is reshaping how brands connect with people—and why it's no longer just about the product, but about the experience. We talk about how we've shifted our focus from performance-only metrics to a more holistic approach, blen...

Integrating Business Needs and Technical Skills in Effective Model Serving Deployments - ML 184 13.02.2025

Welcome back to another episode of Adventures in Machine Learning, where hosts Michael Berk and Ben Wilson delve into the intricate process of implementing model serving solutions. In this episode, they explore a detailed case study focused on enhancing search functionality with a particular emphasis on a hot dog recipe search engine. The discussion takes you through the entire development loop, b...

Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183 24.01.2025

Welcome to another insightful episode of Top End Devs, where we delve into the fascinating world of machine learning and data science. In this episode, host Charles Max Wood is joined by special guest Pierpaolo Hipolito, a data scientist at the SAS Institute in the UK. Together, they explore the intriguing paradoxes of data science, discussing how these paradoxes can impact the accuracy of machine...

Cows, Camels, and the Human Brain - ML 182 09.01.2025

What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brai...

A/B Testing with ML ft. Michael Berk - ML 181 02.01.2025

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. Links How to Find Weaknesses in your Machine Learning Models LinkedIn: Michael Berk Michael Berk - Medium Picks Ben-  David Thorne Books Charles-  Shadow Hunter Michael-  Stuart Russell Become a su...

Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180 26.12.2024

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 understanding the technolo...

Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179 19.12.2024

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 an algorithm alread...

Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178 12.12.2024

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 between tasks, and h...

The Nature of the World and AI with Rishal Hurbans - ML 177 09.12.2024

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. Links Kaggle: Your Machine Learning and Data Science Community Rishal Hurbans Inktober Book giveaway link Picks Chuck-  Hero with a thous...

Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176 28.11.2024

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 business growth. Barza...

Challenges and Solutions in Managing Code Security for ML Developers - ML 175 21.11.2024

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 evaluating and executin...

Innovative Security Solutions for Developers - ML 174 14.11.2024

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 of making secur...

Peer Review and Career Development - ML 173 07.11.2024

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 role at a boxing...

Navigating Expertise Gaps - ML 172 31.10.2024

 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. Moreover, they discuss...

The Influence of Gen AI on Personalized Education and Curiosity - ML 171 24.10.2024

In this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful guest, Daniel Hiterer. Michael, a data engineering and machine learning expert, and Ben, an integrator of Gen AI tools, navigate through Danny's unique perspective on the impact of nurturing educational environments. Currently working at Cornell’s Studio entrepreneurship program, Dann...

The Role of Open Source in Modern Development Practices - ML 170 17.10.2024

Today, they dive deep into the fascinating intersection of open-source development and machine learning.  Michael and Ben are joined by distinguished guest,  Görkem  Erkan, CTO and seasoned engineer at Jozu. Görkem  shares his illustrious career journey from Nokia to Red Hat, his contributions to the Eclipse Foundation, and his current focus on MLOps. They explore his passion for open-source proje...

AI-Powered Tools for Productivity with Artem Koren - ML 169 10.10.2024

In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the future of AI integration in the workplace. We'll delve into Sembly AI's mission to accelerate team efficiency through powerful AI tools—imagine an Iron Man suit for your daily tasks. From proactive AI assisting with time-consuming tasks to ethical considerations in data privacy, th...

The Impact of Generative AI on the Advertising Industry - ML 168 03.10.2024

In today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he built Omneky, an AI-Driven Marketing Platform. They dive into Hikari's approach to working with customers on brand strategy and content. They also talk about the increasing importance of brands in a digital, AI-driven world. Additionally, they tackle Hikari's perspective on how gener...

Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167 26.09.2024

Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback, mentorship, and growth in the field of software development. In this episode, Michael shares their journey of overcoming the pains of independent problem-solving before receiving effective guidance. As we explore their experiences with Ben, they uncover the vital importance of openness to...

Evaluating and Building AI Systems - ML 166 19.09.2024

Michael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a staff developer advocate at MongoDB. Richmond's journey from web development to AI was driven by a quest for excitement and new challenges. In this episode, he shares how he transitioned into the AI field, his passion for using writing as a learning tool, and the importance of continuou...

Demystifying AI Innovations - ML 165 12.09.2024

Today, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine learning. Joining us are your hosts, Michael Berk and Ben Wilson, who bring a wealth of experience from Databricks. In this episode, Ben shares his journey navigating the intricacies of deep learning and the surprising effectiveness of simpler solutions over complex algorithms. Abi lends...

Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164 29.08.2024

Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data science with their insightful guest, Sandy Ryza a lead engineer from Dagster Labs. In this episode, they explore a range of intriguing topics, from the impact of the broken windows theory on code quality to the delicate balance of maintaining backward compatibility in evolving software pr...

Building, Testing, and Abandoning Software - ML 163 22.08.2024

In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team dynamics. This episode explores the critical balance between building in-house tools versus leveraging open-source solutions, with real-world examples from Databricks. They discuss the creation and eventual abandonment of a benchmarking tool for warehouses and discuss the importance of...

AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162 15.08.2024

In today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional design. Luis Garcia who is the President of PETE, delves into automating instructional design, content development, and assessments, shedding light on the evolving educational landscape and the pivotal role of evaluation and learning. Ben shares invaluable insights on leveraging chat...

Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161 08.08.2024

In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of AI and machine learning in modern HR practices. They tackle a range of topics, starting with the innovative use of AI to streamline surveying and sentiment analysis in employee evaluations. They explore the exciting potential of AI models in technical data collection, particularly f...

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