Adventures in Machine Learning

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

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.

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

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.

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

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.

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

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.

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

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.

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

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Privacy & Opt-Out: https://redcircle.com/privacy

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

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 )

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.

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 )

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.

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

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.

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

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.