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.
Mentorship in Machine Learning - ML 038
Ben 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 Sponsors Dev Influencers Accelerator Picks 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 Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv )
Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037
Laszlo 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 Guest Laszlo Sragner Sponsors Dev Influencers Accelerator Links 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 Picks 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 Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz
Data Pipelines with Metaflow featuring Ville Tuulos - ML 036
Ville 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 Guest Ville Tuulos Sponsors Dev Influencers Accelerator Links Metaflow LinkedIn: Ville Tuulos Twitter: Ville Tuulos ( @vtuulos ) Picks 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 Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz
Machine Learning: More than Just an Algorithm - ML 035
The conversation starts out asking what’s coming down the pipeline for the Machine Learning community. Ben explains why it’s hard to predict and leads the conversation into what the challenges really are in Machine Learning and the movements across the field to make it more clear on how to get value from your ML setup. Panel Ben Wilson Charles Max Wood Francois Bertrand Sponsors Dev Influencers Accelerator Picks Ben- Optuna Ben- GitHub | optuna/optuna Charles- DigitalOcean Charles- Napoleon Hill's Outwitting the Devil Charles- Dev Influencers | Devchat.tv Francois- Discord Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz
How to Get Started in Machine Learning - ML 034
In this episode, Ben, Francois and Chuck talk about the skills and knowledge that will help you get started with machine learning. Ben outlines 3 different things that will get you started faster than anything else. Francois and Chuck add a couple more things and they discuss the best ways to implement each one of these skills or tactics to become a top notch Machine Learning Engineer. Panel Ben Wilson Charles Wood Francois Bertrand Sponsors Dev Influencers Accelarator Picks Ben- Evidently AI Charles- Psycho-Cybernetics Charles- Focus Blocks Francois- Clockify Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz
Scaling video processing with Deep Learning - ML 033
In this episode we talk with Serhii Maksymenko about how to scale video processing with DL frameworks. From buffered asynchronous processing to how to get started with projects of this complexity, Serhii discusses his project work and unique take on how to build these systems without breaking the bank. Panel Ben Wilson Charles Max Wood Francois Bertrand Guest Serhii Maksymenko Sponsors Dev Influencers Accelerator Links Deep Learning-based Real-time Video Processing LinkedIn: Serhii Maksymenko Picks Ben- MLOps Community Ben- Hands-on Scala Programming Ben- Sixteen Different Flavours of Hell Charles- Who Now How Charles- Masters Swim Team Charles- As a Man Thinketh Charles- Psycho-Cybernetics Francois- Featuretools Francois- Comet Serhii- Atomic Habits Contact Ben: Databricks GitHub | BenWilson2/ML-Engineering GitHub | databrickslabs/automl-toolkit LinkedIn: Benjamin Wilson Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv ) Contact Francois: Francois Bertrand GitHub | fbdesignpro/sweetviz
The 3 Essentials for Successful Job Outcomes - BONUS
Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas. First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways. Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes. Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the Dev Influencers Accelerator. Panel Charles Max Wood
The 3 Essentials for Successful Job Outcomes - BONUS
Chuck dives into the 3 essentials for getting the next successful outcome you want in your career. Whether that's something simple like a raise or something more complex like going freelance, you can achieve it by working on 3 main areas. First, building skills. The most obvious type of skills you'll need is technical skills. However, don't neglect your people skills and your organizational skills as well since you're often paid for how you work with people and enhance their work and how you put your work together in the most efficient ways. Second, building relationships. Often other people will be able to help you find the opportunities or will be the ones to make the decisions that impact your ability to get the outcome you want. Having good relationships is key to having good outcomes. Third, building recognition. Being known for being valuable in important ways allows you to leverage the skills you have to build better relationships and create opportunities to get what you need to get the outcomes you want by giving people what they want. A podcast is a great way to do all three. Chuck explains exactly how that works in this podcast and goes deeper as part of the Dev Influencers Accelerator. Panel Charles Max Wood Sponsors Dev Influencers Accelerator
How to Get Hired at a FANG Company - BONUS
Chuck explains what he taught Nathan last week when we asked how to get hired at a FANG (Facebook Apple/Amazon Netflix Google) company. Essentially, it boils down to how to build the skills and knowledge needed to pass the interview. How to build the relationships to get into the door and have the interviewer want you to succeed. And how to build the reputation that has the company wanting you regardless of the outcome. This approach also works for speaking at conferences, selling courses, and other outcomes as well as it's the core of building a successful career as an influencer. Panel Charles Max Wood
Parallelizing Model Training with Michael Galarnyk - ML 032
Michael Galarnyk is a Developer Relations at AnyScale and has nearly 10,000 follows on Medium. He joins the adventure to walk Chuck through how he's parallelized the training of his Machine Learning models on multi-core machines. He also walks Chuck through the ins and outs of being in Developer Relations. Panel Charles Max Wood Guest Michael Galarnyk Sponsors Dev Influencers Accelerator Links Speeding up Scikit-Learn Model Training How to Build a Data Science Portfolio Michael Galarnyk - Medium Twitter: Michael Galarnyk ( @GalarnykMichael ) LinkedIn: Michael Galarnyk Picks Charles- Words of Radiance: Stormlight Archive Charles- Buying cars on local classifieds Michael- The Cost of Financing a Car (Car Loans) Michael- Success is an Iceberg (we all fail sometimes) Michael- Destiny's Crucible | Olan Thorensen Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv )
The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031
Derrick Mwiti joins the adventure to discuss the various tools you can use to jumpstart your Machine Learning adventure. He walks through several frameworks for Machine Learning and points out several Tensorflow extensions that will make your Machine Learning models better and your understanding of what is going on easier. He and Chuck walk through each one and highlight when and why you'd want to use them. Panel Charles Max Wood Guest Derrick Mwiti Sponsors Dev Influencers Accelerator Links The Best Machine Learning Frameworks & Extensions for TensorFlow Derrick Mwiti Derrick Mwiti | Data Scientist | Author | Mentor | Udemy Twitter: Derrick Mwiti ( @_mwitiderrick ) LinkedIn: Derrick Mwiti Picks Charles- Who Not How Charles- Fanatical Prospecting Charles- Hunting Hitler Derrick- Purple Cow: Transform Your Business by Being Remarkable Derrick- This Is Marketing: You Can't Be Seen Until You Learn to See Contact Charles: Devchat.tv DevChat.tv | Facebook Twitter: DevChat.tv ( @devchattv )
Automated Machine Learning with Qingquan Song - ML 030
Qingquan Song is a member of the AutoKeras team and recent Phd graduate from Texas A&M University. He co-authored the Automated Machine Learning book from Manning publishing and joins the adventure to explain automated machine learning and how it can be used to set up and to refine machine learning models. He also dives into how to use the tools that exist to take advantage of the techniques it offers. Panel Charles Max Wood Guest Qingquan Song Sponsors Dev Influencers Accelerator Links Automated Machine Learning in Action Haifeng Jin's Blog Xia Ben Hu, Texas A&M University AutoKeras About me - Qingquan Song LinkedIn: Qingquan Song Picks Charles- Who Not How Charles- Ruby Rogues | Devchat.tv Charles- Encourage people to have empathy Qingquan- Working as a team is better than working individually Qingquan- Focus on one thing at a time Qingquan- "Work hard and Play Harder" Qingquan- Learn from others
Becoming the Go-To Person in Your Technology Area - BONUS
Chuck was on a strategic call with one of his potential coaching clients talking about cryptocurrencies and realized that this is one of the major reasons that people want to become influencers. Or, rather, that many people aspire to make a difference and/or make money and the best way to do that is to become the person people go to for what you do. So, how do you become the first person people think of when they think of that thing you know how to do? Let Chuck tell you. Panel Charles Max Wood
Machine Learning for the Mars Rover with Annie Didier - ML 029
Annie Didier from NASA’s Jet Propulsion Lab talks to us about the Machine Learning algorithms and process that goes into how the next Mars rover will choose how it moves across the surface of Mars. She explains each algorithm and how they go together to make the decisions that the Rover makes. Panel Charles Max Wood Guest Annie Didier Sponsors Dev Influencers Accelerator Links MAARS - Machine Learning-based Analytics for Automated Rover Systems (Final Presentation) SCOTI: Science Captioning of Terrain Images for data prioritization and local image search MAARS: Machine learning-based Analytics for Automated Rover Systems SULU: Scalable and Distributed Machine Learning Framework with Unified Encoder for Mars Rover Missions AI4Mars - Zooniverse LinkedIn: Annie Didier Picks Annie- When Breath Becomes Air Charles- The Martian Charles- Back Market Charles- monday.com
Tensorflow.js with Gant Laborde - ML 028
Gant's back!!! He's releasing a book with Manning Publishing about Tensorflow.js and he's here to discuss all the details with us. He explains the difference between Teonsorflow and Tensorflow.js and goes into some of the pros and cons of using it. He also explains the concepts he goes over for new ML engineers and for ML engineers learning JavaScript. Panel Charles Max Wood Guest Gant Laborde Sponsors Dev Influencers Accelerator Links Learning TensorFlow.js by Gant Laborde Learning TensorFlow.js: Powerful Machine Learning in JavaScript by Gant Laborde Twitter: Gant Laborde ( @GantLaborde ) gantlaborde.com Picks Charles- monday.com Charles- The Sales Development Playbook Trish Bertuzzi Gant- Antifragile by Nassim Nicholas Taleb