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Adventures in Machine Learning
Adventures in Machine Learning episodes
- AI Assisted Development ft. Sydney Lai - ML 044Sydney Lai joins the Adventure to discuss how she and her colleagues build AI assisted features for developers and how that they handle scenarios that they can't always plan for. Panel
- Ben Wilson
- Charles Max Wood
- Sydney Lai
- Dev Influencers Accelerator
- Level Up | Devchat.tv
- PodcastBootcamp.io
- Developer Community | OutSystems
- Software Downloads | OutSystems
- Twitter: Sydney Lai ( @sydneylai )
- Ben- Veritasium
- Charles- PodcastBootcamp.io
- Charles- Top End Devs
- Charles- The Chosen
- Sydney- Michael Pollan
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
- Top End Devs Coaching: If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.1 hr 17 min - Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043Sandeep Uttamchandani joins the Adventure to discuss the relationships between Data Science and Machine Learning. He walks through the ways you should set up, manage, and consider the data you use to build and train your Machine Learning systems to get the outcomes that you want. Panel
- Ben Wilson
- Charles Max Wood
- Sandeep Uttamchandani
- Dev Influencers Accelerator
- Level Up | Devchat.tv
- 98 things that can go wrong in an ML project
- The Self-Service Data Roadmap
- How to build a unicorn AI team without unicorns
- For Successful AI Projects, Celebrate Your Graveyard
- Data for Humanity
- For successful AI projects, celebrate your graveyard and be prepared to fail fast
- Sandeep Uttamchandani - Medium
- Sandeep Uttamchandani, Ph.D.
- Twitter: Sandeep Uttamchandan ( @sandeepu )
- Ben- The Self-Service Data Roadmap
- Charles- Level Up | Devchat.tv
- Charles- Big Rock Candy Mountain Resort
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
- Top End Devs Coaching: If you have questions about how to grow your skills or take your career to the next level, join us on our next weekly coaching call. It's completely free.
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.1 hr 8 min - From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042Alexey Grigorev joins the Adventure to discuss how software engineers can begin making the transition from Software Engineer to Data Scientist in their career. Ben Wilson also gets asked about this frequently and chimes in with his experience. Panel
- Charles Max Wood
- Ben Wilson
- Francois Bertrand
- Alexey Grigorev
- Dev Influencers Accelerator
- From Software Engineering to Machine Learning
- Machine Learning Zoomcamp
- Datatalks.Club
- LinkedIn: Alexey Grigorev
- Twitter: Alexey Grigorev ( @Al_Grigor )
- Alexey- Running from Complexity
- Ben- Machine Learning Bookcamp
- Charles- Devchat.tv/levelup
- Francois- Cozy Fall Coffee Shop Ambience - YouTube
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
- Francois Bertrand
- GitHub | fbdesignpro/sweetviz
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.50 min - Don't Follow the Default Developer Career Path - BONUS
Charles Max Wood explains the default path that developers seem to follow in their career and why that doesn't give developers the fulfillment they're looking for.
He then walks through some of the options to change the direction of your career.
Panel- Charles Max Wood
24 min - Writing Production Code for ML ft. Ken Youens-Clark - ML 041Ken Youens-Clark joins the adventure to discuss how to write well factored code with tests to help ML be more approachable. He, Ben, and Chuck discuss what it takes to write good code that runs efficiently, is easy to maintain, and still get ML work done. Panel
- Ben Wilson
- Charles Max Wood
- Ken Youens-Clark
- GitHub: Ken Youens-Clark ( kyclark )
- Twitter: Ken Youens-Clark ( @kycl4rk )
- Ben- David Thorne
- Charles- Xero
- Charles- Fireside
- Charles- Devchat.tv/levelup
- Ken- Meditation and Mindfulness
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.1 hr 10 min - Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data. He walks Ben Wilson through the ins and outs of applying Deep Learning to tabular data sets and the how to find instances where this practice might be the right solution. Panel
- Ben Wilson
- Mark Ryan
- Dev Influencers Accelerator
- Deep Learning with Structured Data | Manning
- Prepare Tabular Data | Manning
- Mark Ryan - YouTube
- GitHub: Mark Ryan ( ryanmark1867 )
- Twitter: Mark Ryan ( @MarkRyanMkm )
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.50 min - Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039Ekrem Aksoy joins the adventure to discuss transformers and the method of helping Machine Learning algorithms focus on the important parts of an image to determine what to do. Panel
- Ben Wilson
- Charles Max Wood
- Daniel Svoboda
- Francois Bertrand
- Ekrem Aksoy
- Dev Influencers Accelerator
- Attention to Transformers
- Attention in the Human Brain and Its Applications in ML
- See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving
- Ekrem Aksoy - Medium
- Ekrem Aksoy, PhD - Gradient
- LinkedIn: Ekrem Aksoy
- Ben- Read all the blog posts in this episode
- Charles- Accounting software | Xero
- Charles- The Prosperous Coach
- Daniel- Debt - Updated and Expanded: The First 5,000 Years
- Ekrem- The Book of Why: The New Science of Cause and Effect
- Ekrem- Attention in Psychology, Neuroscience, and Machine Learning
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
- Francois Bertrand
- GitHub | fbdesignpro/sweetviz
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.1 hr 2 min - Mentorship in Machine Learning - ML 038Ben Wilson explains the recent developments at DataBricks with their Machine Learning mentorship program for some of their experts. He talks about his approach to helping the Data Scientists and Developers he's mentoring to understand Machine Learning more deeply and gives advice on how others could and should drive their career forward with Machine Learning. Panel
- Ben Wilson
- Charles Max Wood
- Daniel Svoboda
- Dev Influencers Accelerator
- Ben- Exploring HD music on Amazon Prime
- Charles- 50 Grilled Cheese
- Charles- The Prosperous Coach
- Charles- Kajabi
- Daniel- Debt - Updated and Expanded: The First 5,000 Years
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.1 hr 6 min - Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037Laszlo Sragner joins the adventure to discuss how to make your machine learning approach production ready. The discussion ranges through code quality and how to build and manage your models to keep them production ready and delivering the outcomes you're looking for. Panel
- Ben Wilson
- Charles Max Wood
- Francois Bertrand
- Laszlo Sragner
- Dev Influencers Accelerator
- Laszlo's Newsletter
- How to solve Machine Learning problems for production? (Part 1)
- How to solve Machine Learning problems for production? (Part 2)
- Need for Speed: Why High Quality Code Matters in Data Science
- LinkedIn: Laszlo Sragner
- Ben- Laszlo's Newsletter
- Charles- The Ruthless Elimination of Hurry
- Charles- Atlas Shrugged
- Charles- Oathbringer
- Charles- Strava
- Francois- Audible
- Laszlo- Software Engineering at Google
- Laszlo- Move Fast and Break Things
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
- Francois Bertrand
- GitHub | fbdesignpro/sweetviz
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.1 hr - Data Pipelines with Metaflow featuring Ville Tuulos - ML 036Ville Tuulos is a former Netflix data scientist and engineer who now helps people manage their data pipelines. He's the author of Effective Data Science Infrastructure from Manning publishing and the creator of the Metaflow system for managing data pipelines. He explains how to think about data and how to plan out how to gather, manage, and transform your data using a system like Metaflow. Panel
- Ben Wilson
- Charles Max Wood
- Francois Bertrand
- Ville Tuulos
- Dev Influencers Accelerator
- Metaflow
- LinkedIn: Ville Tuulos
- Twitter: Ville Tuulos ( @vtuulos )
- Ben- Databricks Feature Store
- Charles- Atlas Shrugged
- Charles- 2 C clamps and a 2x6” board for clamping monitor arms
- Charles- DevOps in BioInformatics with Jillian Rowe – DevOps 074 | Devchat.tv
- Francois- Lucidchart
- Ville- Weather API
- Databricks
- GitHub | BenWilson2/ML-Engineering
- GitHub | databrickslabs/automl-toolkit
- LinkedIn: Benjamin Wilson
- Devchat.tv
- DevChat.tv | Facebook
- Twitter: DevChat.tv ( @devchattv )
- Francois Bertrand
- GitHub | fbdesignpro/sweetviz
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.56 min
About Adventures in Machine Learning
From the publisher's feed
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.
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.