Ben Wilson

Adventures in Machine Learning

Podcasts

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...

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...

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,...

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...

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 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...

A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099

Adventures in Machine Learning

In this episode, Ben talks with Rosaria Silipo, a Software Engineer and Developer Relations advocate at Knime. They...

Moving from Dev Notebooks to Production Code - ML 098

Adventures in Machine Learning

In this week's episode we meet with Mike Arov, committer to the MLOps tool framework lineapy. From the benefits of...

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...

MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096

Adventures in Machine Learning

Corey Zumar talks about the new release of MLflow, 2.0, and what the new major features that are included in the...

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...

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

Adventures in Machine Learning

Jesse Langford spent the first half of his career as a golf instructor before pivoting to software engineering. ...

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...

Using AI and ML to Help Humans, Not Replace Them - ML 071

Adventures in Machine Learning

Ben interviews Michael Griffiths, Director of Data Science at ASAPP, a company leveraging AI and ML to augment and...

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,...

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...

How To Do Post-Production with Abhilash Pattnaik - ML 062

Adventures in Machine Learning

If you’re feeling a little nervous about your baby leaving the nest, we get it. In this episode, Ben and Daniel talk...

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...

How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055

Adventures in Machine Learning

Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and...

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...

Data Paradoxes in Data Sets with Pier Paolo Ippolito - ML 052

Adventures in Machine Learning

Pier Paolo Ippolito joins the adventure to discuss some of the paradoxes or counterintuitive generalizations people...

Testing Your MLOps - ML 051

Adventures in Machine Learning

The panel jumps in to attempt to break your mental build regarding testing your ML Ops. They advocate for good...

Deploying Your Machine Learning Models with FastAPI ft. Ahmad Mustafa Anis - ML 050

Adventures in Machine Learning

Ahmad Mustafa Anis joins the adventure to discuss how he deploys his Machine Learning models using FastAPI. FastAPI...

Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049

Adventures in Machine Learning

Emeli Dral and Elena Samuylova joins the Adventure to discuss the tools they have built to monitor data quality to...

The MLOps Community with Demetrios Brinkmann - ML048

Adventures in Machine Learning

Demetrios Brinkmann joins the adventure to discuss how he build and supports the MLOps Slack community and online...

How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047

Adventures in Machine Learning

Conor Murphy joins the adventure to explain how he approaches new problems from customers at databricks and how he...

Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046

Adventures in Machine Learning

Antonio Alegria is the head of AI at Outsystems. He leads the effort to find ways to use AI to augment people's...

Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045

Adventures in Machine Learning

Slater Victoroff joins the Adventure to discuss mutli-modal AI and machine teaching with the panel. He starts out...

AI Assisted Development ft. Sydney Lai - ML 044

Adventures in Machine Learning

Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and...

Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043

Adventures in Machine Learning

Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He...

From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042

Adventures in Machine Learning

Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software...

Writing Production Code for ML ft. Ken Youens-Clark - ML 041

Adventures in Machine Learning

Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more...

Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040

Adventures in Machine Learning

Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use...

Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039

Adventures in Machine Learning

Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus...

Mentorship in Machine Learning - ML 038

Adventures in Machine Learning

Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of...

Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037

Adventures in Machine Learning

Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The...

Data Pipelines with Metaflow featuring Ville Tuulos - ML 036

Adventures in Machine Learning

Ville Tuulos is a former Netflix data scientist and engineer who now helps people manage their data pipelines. He's...

Machine Learning: More than Just an Algorithm - ML 035

Adventures in Machine Learning

The conversation starts out asking what’s coming down the pipeline for the Machine Learning community. Ben explains...

How to Get Started in Machine Learning - ML 034

Adventures in Machine Learning

In this episode, Ben, Francois and Chuck talk about the skills and knowledge that will help you get started with...

Scaling video processing with Deep Learning - ML 033

Adventures in Machine Learning

In this episode we talk with Serhii Maksymenko about how to scale video processing with DL frameworks. From buffered...

ML 024: Machine Learning in Action with Ben Wilson

Adventures in Machine Learning

Ben Wilson is the author of Machine Learning in Action from Manning. He leads us through the process of compiling...

RRU 039: Lambda School with Ben Nelson

React Round Up

In this episode, the panelists talk with Ben Nelson who is a co-founder and CTO of Lambda School. The panelists and...