Michael Berk
Media Entries
Challenges and Solutions in Managing Code Security for ML Developers - ML 175
Adventures in Machine Learning
Today, join Michael and Ben as they delve into crucial topics surrounding code security and the safe execution of...
Innovative Security Solutions for Developers - ML 174
Adventures in Machine Learning
They delve into the journeys and insights of distinguished leaders in the development world. In today's episode,...
Peer Review and Career Development - ML 173
Adventures in Machine Learning
In today's episode, Michael and Ben discuss peer review, specifically Michael's experiences. Michael explains his...
Navigating Expertise Gaps - ML 172
Adventures in Machine Learning
In today's episode, Ben and Michael discuss how to handle situations involving individuals lacking expertise in...
The Influence of Gen AI on Personalized Education and Curiosity - ML 171
Adventures in Machine Learning
In this episode, Michael and Ben dive deep into the intersection of education and technology with their insightful...
The Role of Open Source in Modern Development Practices - ML 170
Adventures in Machine Learning
Today, they dive deep into the fascinating intersection of open-source development and machine learning. Michael and...
AI-Powered Tools for Productivity with Artem Koren - ML 169
Adventures in Machine Learning
In this week's episode, Michael and Ben sit down with Artem Koren, Chief Product Officer at Sembly AI, to explore the...
The Impact of Generative AI on the Advertising Industry - ML 168
Adventures in Machine Learning
In today's episode, Michael is joined by Hikari Senju the Founder and CEO at Omneky. He starts by discussing how he...
Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167
Adventures in Machine Learning
Today, Ben and Michael dive into a compelling discussion on the intricate dance between challenges, feedback,...
Evaluating and Building AI Systems - ML 166
Adventures in Machine Learning
Michael Berk dives deep into the adventures of AI and machine learning with our special guest, Richmond Alake, a...
Demystifying AI Innovations - ML 165
Adventures in Machine Learning
Today, we have a special guest Abi Aryan, an accomplished founder of Abide AI and a seasoned expert in machine...
Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164
Adventures in Machine Learning
Today, host Michael Berk and Ben Wilson dive deep into the multifaceted world of software engineering and data...
Building, Testing, and Abandoning Software - ML 163
Adventures in Machine Learning
In today's episode, Ben and Michael dive deep into the intricacies of software development, innovation, and team...
AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162
Adventures in Machine Learning
In today's episode, Ben and Michael dive deep into the intersection of education, AI, and innovative instructional...
Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161
Adventures in Machine Learning
In today's episode, our hosts Michael, Ben, and special guest Keith Goode delve deep into the transformative role of...
How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160
Adventures in Machine Learning
In today's episode, they delve deep into the intertwining worlds of technology, security, and innovation with Aaron...
AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159
Adventures in Machine Learning
In today’s episode, they dive into the intricate world of MLOps with Brad Micklea, a seasoned expert with extensive...
Functional Programming Shift and Scalable Architecture Insights - ML 158
Adventures in Machine Learning
In today's episode, they dive deep into the evolving landscape of software development. Join us as Kirk, the CTO and...
Mentorship and Management: Creating a Collaborative Work Environment - ML 157
Adventures in Machine Learning
In today's episode, Michael and Ben alongside our guest Alex Levin dive deep into the evolving landscape of AI...
The Intersection of Success and Talent Retention in Software Development - ML 156
Adventures in Machine Learning
In today's episode, Michael and Ben dissect the process of building maintainable and impactful products, emphasizing...
Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155
Adventures in Machine Learning
In today's episode, Michael Berk and Ben Wilson dive deep into the intricacies of technical interviews for machine...
Balancing Theoretical Knowledge with Hands-on Experience - ML 154
Adventures in Machine Learning
Michael Berk and Ben Wilson from Databricks are joined by Brooke Wenig, who has a fascinating background in...
AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153
Adventures in Machine Learning
Michael Berk and Ben Wilson join cybersecurity expert Daniel Miessler to delve into the cutting-edge world of AI and...
The Journey to Expertise with Fernando Lopez - ML 152
Adventures in Machine Learning
Fernando Lopez is an AI Engineer at Google. They delve deep into the realms of machine learning, documentation...
Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151
Adventures in Machine Learning
Deeksha Goyal is the Senior Machine Learning Engineer at Lyft and Michael Sun is the Staff Software Engineer at Lyft....
The Impact of AI Tools on Software Development and Quality Assurance - ML 150
Adventures in Machine Learning
Matt Van Itallie is the Founder & CEO at Sema. This episode covers a wide range of topics, from the impact of AI and...
Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149
Adventures in Machine Learning
Terry Rodriguez is the Co-Founder at Remyx AI. They discuss the challenges and opportunities in deploying and...
Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148
Adventures in Machine Learning
Lukas Geiger is a Deep Learning Scientist, open-source developer, and an astroparticle physicist. He shares his...
Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147
Adventures in Machine Learning
Nick Schrock is the Founder of Dagster Labs. He is also the Creator of Dagster and the Co-creator of GraphQL. They...
The Science-Engineering Blend - ML 146
Adventures in Machine Learning
Ben and Michael dive into the dynamic relationship between engineers and scientists in the realms of software...
The Impact of Process on Successful Tech Companies - ML 145
Adventures in Machine Learning
Michael and Ben dive into the critical role of design in software development processes. They emphasize the value of...
Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144
Adventures in Machine Learning
Michael and Ben share their insights on being called in to fix issues in production systems at the last minute. They...
MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143
Adventures in Machine Learning
Ben and Michael dive into the world of machine learning operations (MLOps) and discuss the complexities of building a...
Navigating Authority and Transparency in Organizations - ML 142
Adventures in Machine Learning
Ben and Michael dive into the complex world of decision-making, transparency, and truth-seeking in professional...
Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141
Adventures in Machine Learning
Davis King is the perception engineer at Aurora. They talk about Dlib, which makes real-world machine learning and...
Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140
Adventures in Machine Learning
Ben and Michael delve into the crucial aspects of coding, culture, and collaboration. From the importance of proper...
Lyft's ML Infrastructure Journey - ML 139
Adventures in Machine Learning
Konstantin Gizdarski and Jonas Timmermann are software engineers at Lyft. They dive deep into the world of machine...
From Open Source to Traditional ML with James Lamb - ML 138
Adventures in Machine Learning
James Lamb is the senior software engineer at NVIDIA. They delve into the world of open-source contributions and the...
Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137
Adventures in Machine Learning
Richard Berk delves into the exciting world of machine learning in a thought-provoking discussion on a wide range of...
Beyond Machine Learning - ML 136
Adventures in Machine Learning
Michael and Ben take a deep dive into the insightful journey spanning nuclear engineering, software development, and...
Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135
Adventures in Machine Learning
Piotr Skalski is a computer vision engineer at Roboflow. They dive deep into the world of computer vision and AI...
Complexity Theory - ML 134
Adventures in Machine Learning
In today's episode, we speak with Neil Theise, a pathologist at NYU and author of Notes on Complexity: A Scientific...
Data Watchdogs - ML 133
Adventures in Machine Learning
In today's episode we speak with Agata Checinska (Spotify) and Kasia Batko-Toluc (Citizen Network Watchdog Poland)...
Causal Analysis - ML 132
Adventures in Machine Learning
In today's episode we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn...
Data Visualization and Hugging Face - ML 131
Adventures in Machine Learning
In today's episode, we chat with Sylvain Lesage from Hugging Face, a specialist in data visualization and software...
Confidence as Data Scientist - ML 130
Adventures in Machine Learning
In today's episode, we chat with Adam Ross Nelson - a data scientist, career mentor, and writer. Our primary focus is...
A Case Study: Recommendation Engines - ML 129
Adventures in Machine Learning
In today's episode, we delve into a popular topic at Databricks: building recommendation engines. We'll guide you on...
Maximizing Efficiency in ML Project Development - ML 128
Adventures in Machine Learning
Ben and Michael delve into the world of data science and software development. They discuss the importance of setting...
AI that Make You Better - ML 127
Adventures in Machine Learning
In today's episode we speak with Paul Allen, the creator of Ancestry.com. Currently, he is CEO of Soar.com, a...
Challenges for LLM Implementation - ML 126
Adventures in Machine Learning
In today's episode, we speak with Anand Das, the CTO and co-founder of bito.ai, an LLM-powered code assistant....
ML in the Cannabis Industry - ML 125
Adventures in Machine Learning
In today's episode, we speak with Shivek Sachdev, product owner at a seed-to-sale Cannabis company. Expect to learn...
How AI Impacts Society - ML 124
Adventures in Machine Learning
In today's episode we speak to Eric Daimler, a White House Presidential Innovation Fellow, professor at Carnegie...
LLMs on Azure - ML 123
Adventures in Machine Learning
In today's episode, we speak with Jeff Procise, founder of Wintellect, an Azure-focused software consulting company....
How to Create Team Utils - ML 122
Adventures in Machine Learning
Have you ever written code and thought, "hmm, I wonder if my teammates would use this." Well in today's episode, we...
How to Get Sh*t Done - ML 121
Adventures in Machine Learning
In today's episode, Michael and Ben break down some surefire methods to be successful. If you follow these tips, you...
ML at Netflix and How to Learn Deeply - ML 120
Adventures in Machine Learning
In today's episode, we speak with Netflix ML engineer Amir Ziai. Expect to learn about building ML tools for...
How to get Promoted - ML 119
Adventures in Machine Learning
In today's episode, we dive into Ben's experience in navigating the career ladder. Expect to learn why your leveling...
How does Search Work? - ML 118
Adventures in Machine Learning
In today's episode, we speak with Roman Grebennikov, an expert in ranking algorithms. Expect to learn about his open...
How to Learn a New Tool - ML 117
Adventures in Machine Learning
In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During...
The Innovation Cycle of AI - ML 116
Adventures in Machine Learning
Today we speak with ex-Googler, Praveen Paritosh. He has over 20 years of experience as a research scientist and has...
All Things Machine Learning - ML 115
Adventures in Machine Learning
Host from the Ruby Rogues podcast, Dave Kimura joins Ben and Michael for this week's crossover episode. They discuss...
All Things Machine Learning - RUBY 594
Ruby Rogues
Host from the Adventures in ML podcast, Ben Wilson and Michael Berk join Dave for this week's crossover episode. They...
How to Transition from Academics to Industry - ML 114
Adventures in Machine Learning
Today we speak with Noah Silbert, a former data scientist at Netflix and current data scientist at Tubi. Expect to...
How to Make your Projects Succeed - ML 113
Adventures in Machine Learning
In today's episode, we walk through a project that Michael is currently working on. Expect to learn about scoping a...
How to Think Like a Principal Architect - ML 112
Adventures in Machine Learning
Today, we do a deep dive into Ben's background. We cover his career trajectory and, more importantly, how nature and...
How to Transition from Software Engineer to ML Engineer - ML 111
Adventures in Machine Learning
Today we speak with a software engineer who is interested in becoming an ML engineer. Expect to learn about ML roles...
Where DevOps and ML Meet - DevOps 156
Adventures in DevOps
Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's...
Machine Learning for Meeting Notes - ML 110
Adventures in Machine Learning
Today we look at an applied use case for ML: developing intelligent meeting notes. Expect to learn about LLMs, AI...
Model Serving at Databricks - ML 109
Adventures in Machine Learning
Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building...
Where ML and DevOps Meet - ML 108
Adventures in Machine Learning
Hosts of the Adventures in DevOps podcast, Jillian Rowe and Jonathan Hall, join Ben and Michael on this week's...
How Does ChatGPT Work? - ML 107
Adventures in Machine Learning
ChatGPT is the most robust free chatbot. It can answer questions, write code, and summarize text. Today we will talk...
Machine Learning for Movie Scripts - ML 106
Adventures in Machine Learning
Today we look at an applied use case for ML: parsing movie scripts. Expect to learn about bringing ML to new...
ChatGPT and the Divine - ML 105
Adventures in Machine Learning
"Any sufficiently advanced technology is indistinguishable from magic." Today, Michael and Ben talk about the broad...
Deep Learning for Tabular and Time Series Data - ML 104
Adventures in Machine Learning
Today we speak with a staff data scientist at Walmart who specializes in forecasting. He has built an open-source...
Notebooks vs. IDEs With Fabian Jakobs - ML 103
Adventures in Machine Learning
How do you develop ML code? Do you use notebooks or do you use IDEs? In this episode, we get some practical advice...
How To Think About Optimization - ML 102
Adventures in Machine Learning
In this week's episode, we meet with Micheal McCourt, the head of engineering at SigOpt. He is an industry expert on...
Protecting Your ML From Phishing And Hackers - ML 101
Adventures in Machine Learning
Have you ever wondered how to secure a cloud deployment? Well, today we talk to the president at a cloud security...
The Disruptive Power of Artificial Intelligence - ML 100
Adventures in Machine Learning
Have you ever wondered about the most promising industries in Machine Learning? Today we will learn from Avi...
How to Edit and Contribute to Existing Code Base - ML 097
Adventures in Machine Learning
Let's be honest. We've all copy and pasted code from the internet. There are many great code sources and in this...
Should you Context Switch when Writing Code? - ML 095
Adventures in Machine Learning
Do you multitask? If so, you'll want to check out this episode. We'll cover...
Important Questions To Ask When Scoping ML Projects - ML 094
Adventures in Machine Learning
Have you ever wondered how to prioritize your ML projects? Today we will talk about...
How To Do Research Spikes - ML 093
Adventures in Machine Learning
Have you ever wondered how to efficiently learn topics? In this episode, we discuss how to conduct a research spike...
How to Simplify Data Science with DagsHub Founders - ML 092
Adventures in Machine Learning
Have you ever wondered why data science is hard? Well, in this episode we cover some common data science challenges...
How to Test ML Code - ML 091
Adventures in Machine Learning
In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to...
AGI, Neuron Simulators, and More with Charles Simon - ML 090
Adventures in Machine Learning
Charles Simon, BSEE, MSCs is a nationally recognized entrepreneur and software developer who has many years of...
Complex ML Models with Data Scientist Fernando Lopez - ML 089
Adventures in Machine Learning
Fernando Lopez joins the show today to share his ML insights with a video interview recruiting platform for candidate...
Distributed Time Series in Machine Learning - ML 088
Adventures in Machine Learning
Today the panel discusses high level distributed time series models, using a hot dog stand company as the case study...
Time Series Models in Machine Learning - ML 087
Adventures in Machine Learning
Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples...
Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086
Adventures in Machine Learning
Optical character recognition, or OCR for short, is used to describe algorithms and techniques (both electronic and...
Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085
Adventures in Machine Learning
Award winning data evangelist, AI strategist, and innovation leader Vidhi Chugh joins the show today to share her...
Machine Learning on Mobile Devices and More with Aliaksei Mikhailiuk - ML 084
Adventures in Machine Learning
Enjoy this intellectually stimulating conversation with Michael Berk and guest on the show, Aliaksei Mikhailiuk,...
Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083
Adventures in Machine Learning
Adam Ross Nelson helps current and aspiring data professionals enter and level up in the field by uncovering and...
Bioinformatics and Programming with Ken Youens-Clark - ML 082
Adventures in Machine Learning
Michael Berk interviews Ken Youens-Clark today to discuss various topics including bioinformatics and programming,...
Building AI Data Responsibly with Edouard d’Archimbaud - ML 081
Adventures in Machine Learning
Data excellence is the foundation of better AI. Today on the show, Michael Berk interviews Edouard d’Archimbaud,...
Hyperparameter Tuning for Machine Learning Models - ML 079
Adventures in Machine Learning
When developing ML models, defining and selecting the model architecture will be fundamental to ensure the best...
Ask Me Anything (AMA) with Host Ben Wilson - ML 078
Adventures in Machine Learning
Enjoy this engaging AMA conversation with Michael Berk asking Ben Wilson various questions related to industry,...
Optimizers in Machine Learning, Featuring Maciej Balawejder - ML 077
Adventures in Machine Learning
Ben and Michael interview Maciej Balawejder, a mechanical engineering student passionate about AI, ML, and robotics. ...
Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076
Adventures in Machine Learning
After ensuring your data has surpassed the hyper parameter tuning phase, what is the next step in your EDA protocol?...
Exploratory Data Analysis (EDA) in Machine Learning - ML 075
Adventures in Machine Learning
EDA is primarily used in machine learning to see what data can reveal beyond the formal modeling or hypothesis...
Apache Spark (Pt. 2): MLlib - ML 074
Adventures in Machine Learning
MLlib is Apache Spark's scalable machine learning library. Today, Ben and Michael discuss the ease of use,...
Apache Spark Integration and Platform Execution for ML - ML 073
Adventures in Machine Learning
Apache Spark is a lightning-fast unified analytics engine for large-scale data processing and machine learning. In...
Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072
Adventures in Machine Learning
Ben and Michael walk through two different cases studies relative to production ML infrastructure and recommendation...
AutoML Discovery and Approach - ML 070
Adventures in Machine Learning
AutoML (automated machine learning) has become a hot topic over the past few years. Abid Ali Awan joins the show to...
For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069
Adventures in Machine Learning
Video is considered the most complicated data to process and the volumes of video production are growing from day to...
How to Beef Up Your Resume - ML 068
Adventures in Machine Learning
Michael and Ben talk about how to pick extra projects to build up your resume and become recognized as more of an...
Training Bots, The Stock Market, and Hypotheticals - ML 067
Adventures in Machine Learning
Machine learning is getting bigger by the second, so it’s good to know how to leverage it. In this episode, Michael...
How to Teach Kids Science with Kathryn Hulick - ML 066
Adventures in Machine Learning
What happens when you teach ML and data science to kids? You learn a whole lot, too. In this episode, Ben and Michael...
Business Infrastructure in ML with Joe Reis - ML 065
Adventures in Machine Learning
Even an amazing algorithm can’t fix communication problems. In this episode, Ben and Michael sit down with Joe Reis,...
Data Feeds and KDNuggets with Maria Zentsova - ML 064
Adventures in Machine Learning
Ever feel like you can’t see the forest through the trees? We get it. In this episode, Michael sits down with Maria...
Rethinking ML Monitoring Part 2 - ML 063
Adventures in Machine Learning
In this episode, Ben and Michael cover more of Shreya Shankar’s deep dive into ML monitoring, including the biggest...
Accurate Predictive Modeling with Maarit Widmann - ML 061
Adventures in Machine Learning
Ready to dive DEEP into predictive modeling? You’ve come to the right podcast. In this episode, Ben and Michael sit...
Rethinking ML Monitoring - ML 060
Adventures in Machine Learning
Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in...
Solving the Real Issues with the MLflow Team - ML 059Weichen Xu
Adventures in Machine Learning
If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and...
Cows, Camels, and the Human Brain - ML 058
Adventures in Machine Learning
What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In...
Business Objectives and KPIs with Michael Berk
Adventures in Machine Learning
Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about...
Prediction Intervals - ML 056
Adventures in Machine Learning
Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then...
Tools, Tricks, and Learning in Machine Learning ft. Aliaksei Mikhailiuk - ML 054
Adventures in Machine Learning
Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in...
A/B Testing with ML ft. Michael Berk - ML 053
Adventures in Machine Learning
Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features...