Adventures in Machine Learning

Mo’ advancements mean mo’ problems, and today, Michael and Ben are diving into the biggest issues of ML monitoring in 2022. They lay out the ELEVEN (cause nothing good comes easy) potential pitfalls that you should know this year, the important questions that you NEED to ask yourself before launching your baby, and this ONE phenomenon that reveals a fundamental flaw in models versus the real deal. In This Episode

1. The checklist of ELEVEN problems with ML monitoring that you need to consider in 2022
2. Why THIS is inevitable with ML monitoring no matter what (and why it’s not the end of the world…unless you make it)
3. Before you make an assumptions about your model, ask yourself THESE questions and tread carefully
4. This ONE phenomenon that reveals a HUGE flaw in models vs. real world

Sponsors

• Top End Devs
• Coaching | Top End Devs

Sponsored By:

• Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams
• Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.

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If you’re looking for a team that actually cares about the issues you’re facing, look no further than Databricks, and they’ve got something exciting out. In this episode, Michael and Ben welcome on the development team of MLflow, an open-source lifecycle manager for machine learning. They cover how Databricks is redefining how developers and engineers collaborate, the reason behind Databricks’ crazy success, and the number ONE most important testing structure for any development team. “A lot of the success was attributed to process and dedicated focus on the interface, understanding what major problems we were going after. ”
- Corey Zumar In This Episode How Databricks allows data analysis, engineers, and developers to collaborate effectively
Why Databricks was able to rake in 800,000 downloads per MONTH in their first year
A simple but powerful methodology that helps Databrick identify the highest ROI problems to tackle (not just the most popular ones)
The number one MOST important testing structure that reveals how Databricks keeps their work top-notch
What makes Databricks unique from everyone else and is the KEY to putting users first in 2022 Sponsors

• Top End Devs
• Coaching | Top End Devs

Special Guests: Corey Zumar, Harutaka Kawamura, Weichen Xu, and Zhang Jin.Sponsored By:

• Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams
• Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.

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What do cows and camels have to do with the human brain? The latest developments in machine learning, of course! In this episode, Michael and Ben dive into a new white paper from Facebook AI researchers that reveals a LOT about the future of modeling. They discuss “cows and camels”, the question of predictive vs causal modeling, and how algorithms are getting scary good at emulating the human brain these days. In This Episode Why Facebook’s new research is VERY exciting for AI learning and causality (but what does it have to do with cows and camels?)
The answer to “Is predictive or causal modeling more accurate?” (and why it’s not the best question to ask)
Not sure if you need machine learning or just plain data modeling? Michael lays it out for you
What algorithms are learning about human behavior to accurately emulate the human brain in 2022 and beyond Sponsors

• Top End Devs
• Coaching | Top End Devs

Sponsored By:

• Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.
• Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams

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Want to know how businesses are measuring their success nowadays? In this episode, Ben talks with Michael Berk about how businesses are leveraging numerous performance metrics to stay on top of their game. The two emphasize what your FIRST step should be, why A/B testing is not just for marketers, and the “elephant in the room” that determines how KPIs should be integrated. “It’s the chicken or the egg problem. It’s important to think about what model you’ll potentially use as you build out these pipelines. Step 1 is defining the business objective.”

• Michael Berk

In This Episode:
Before you focus on the pipeline or the model, Michael warns you to put THIS first on your checklist
Why A/B testing is SO powerful and not just for marketers
The #1 takeaway that will change how you implement KPIs
Michael hammers home why “your data is only as good as your model” and why there’s no shortcut around it
The “elephant in the room” that determines the what, who, and how of data analysis in any business

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Michael and Ben talk about Prediction Intervals. They discuss how to put intervals around your predictions and then aiming for a certain level of confidence. Michael and Ben discuss how to put it together and how to use it. Panel

• Ben Wilson
• Michael Berk

Sponsors

• Top End Devs
• Coaching | Top End Devs

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Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club. Use coupon code "GREAT" Mani has summarized hundreds of business books that outline how to build, grow, and operate a business and he shares his expertise with Chuck and the listeners in this special episode. Chuck and Mani discuss what it takes to be a successful entrepreneur. They talk about their businesses on a regular basis and Chuck's been getting a lot of requests for entrepreneurship help. He and Mani talk about the 3 primary things that add momentum to your business and help you keep the momentum up when setbacks come your way. Get Lifetime Access to Mani's Entrepreneurship Pack and Book Club. Use coupon code "GREAT"Special Guest: Mani Vaya.

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Ben and Chuck put their areas of expertise together to discuss how you could build Machine Learning into web and mobile applications. They discuss the various ways data scientists and Machine Learning engineers can use their expertise to build engines and provide data and results to web and mobile developers. Panel

• Ben Wilson
• Charles Max Wood

Sponsors

• Top End Devs
• Coaching | Top End Devs

Picks

• Ben- Frank Herbert's Dune Saga 3-Book
• Charles- The Well of Ascension
• Charles- Traffic Secrets
• Charles-  Steampunk Rally Fusion
• Charles- Author | Top End Devs

Sponsored By:

• Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams
• Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.

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Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal
Coupon Code: "DEEP" for a GIANT discount Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. He has read hundreds of books that have taught him the secrets to getting more done by getting into this state. He starts by telling us how he was passed over for a promotion at Qualcomm in favor of someone younger and less experienced and how that inspired him to figure out what the other guy was doing differently. He learned that he needed to get more done with the time he was spending on his projects. The trick? Deep Work! Deep Work is the ability to spend uninterrupted, focused time on a task to bend your entire mind toward the goal. Other developers call it "Flow" or "the Zone." Mani provides us with strategies and tactics to get Deep Work time and how to get our minds into that focused state for hours at a time. Get the Black Friday/Cyber Monday "Double Your Productivity by 5pm Today" Deal
Coupon Code: "DEEP" for a GIANT discount

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Aliaksei Mikhailiuk joins the Adventure to discuss the tools he wishes he'd mastered before getting his PhD in Machine Learning. However, the conversation meanders through his background, what qualifications people should have, algorithms, and approaches to machine learning along with the tools discussion. Panel

• Ben Wilson
• Charles Max Wood
• Michael Berk

Guest

• Aliaksei Mikhailiuk

Sponsors

• Top End Devs
• Coaching | Top End Devs

Links

• Nine Tools I Wish I Mastered Before My PhD in Machine Learning
• Aliaksei Mikhailiuk
• Aliaksei Mikhailiuk - Medium
• LinkedIn: Aliaksei Mikhailiuk
• Twitter: Aliaksei Mikhailiuk,PhD ( @mikhailiuka )

Picks

• Aliaksei- The Double Descent Hypothesis
• Ben- Aliaksei Mikhailiuk - Medium
• Charles- Shadow Hunters | Board Game | BoardGameGeek
• Charles- Author | Top End Devs
• Charles- Xero
• Charles- Stripe
• Michael- Increase track pad or mouse speed to the Maximum

Special Guest: Aliaksei Mikhailiuk.Sponsored By:

• Coaching | Top End Devs: Do you want to level up your career? or go freelance? or start a podcast or youtube channel? Let Charles Max Wood Help You Achieve Your Dreams
• Top End Devs: Learn to Become a Top 5% Developer. Join our community of ambitious and engaged programmers to learn how.

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.

Michael Berk joins the adventure to discuss how he uses Machine Learning within the context of A/B testing features within applications and how to know when you have a viable test option for your setup. Panel

• Ben Wilson
• Charles Max Wood

Guest

• Michael Berk

Sponsors

• Dev Influencers Accelerator
• Level Up | Devchat.tv

Links

• How to Find Weaknesses in your Machine Learning Models
• LinkedIn: Michael Berk
• Michael Berk - Medium

Picks

• Ben- David Thorne Books
• Charles- Shadow Hunter
• Charles- Top End Devs
• Charles- Become an Author | Top End Devs
• Charles- Coaching | Top End Devs
• Michael- Stuart Russell

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 )

Special Guest: Michael Berk.Sponsored By:

• 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.

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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.