Machine learning is not magic, and if you are building, buying, or betting on AI, this is the episode that will save you from expensive mistakes.

Stephanie Onwuemenyi sits down with data scientist Emmanuel Fapojuwo-oni Temidayo to break down the real process behind machine learning, from defining the right business problem to cleaning data, engineering features, testing models, and knowing when a system is actually fit for purpose. If you have ever wondered why some banks approve loans faster, why fraud systems flag your card at the worst possible moment, or how companies predict churn before customers leave, this conversation makes the invisible visible. Emmanuel explains why many AI projects fail before they even start: teams rush to the algorithm instead of asking the right question first.You’ll discover:

• Why every successful machine learning project starts with the problem, not the model
• How data quality, missing values, outliers, and data modeling shape the outcome
• What feature engineering really means in plain English
• How training, validation, and test data protect a model from overfitting
• Why accuracy alone can be misleading, and why precision, recall, and F1 score matter
• When to trust AI, when to monitor it, and why human oversight still matters

Emmanuel also shares how a credit risk model helped reshape a company’s business approach, why machine learning systems must be retrained as customer behavior changes, and how generative AI fits into the broader AI landscape without replacing the fundamentals underneath it. He closes with practical advice for aspiring data scientists: learn the basics, stop living in tutorials, and start building with real data.

Emmanuel Fapojuwo-oni Temidayo is a data scientist with over seven years of experience in artificial intelligence, machine learning, and data modeling. He began his career as a data analyst in Nigeria, has led analytics teams, and now works in the UK, building dashboards and models that help businesses make better decisions. Essential listening if you work in data, want to understand AI beyond the hype, or need a clearer framework for turning raw information into real-world decisions.

Connect with Emmanuel:

https://www.linkedin.com/in/emmanuel-fapojuwo-oni/

Ryan Lee lost most of his savings in 2008 while doing everything by the book. Instead of going back to the same broken system, he walked away from a six-figure corporate salary at 34, built a $250M real estate portfolio, and created a wealth framework that most people will never hear about from their bank or financial advisor.

In this episode Ryan breaks down why the traditional retirement plan is designed to fail you, how he bought 17 properties without having all the capital upfront, the four economic forces quietly working against your wealth right now, and the insurance vault strategy that billionaires have quietly used for decades.

The shift from the dependency economy to the ownership economy is the conversation nobody is having. Until now.

Get the book and free companion course: http://retirein10years.comConnect with Ryan:LinkedIn: https://www.linkedin.com/in/ryan-d-lee-31838b304/YouTube: https://studio.youtube.com/channel/UCxagbyQYP_R_Z6lYIESG59ASubscribe to Bricks and Banks for weekly conversations on real estate, personal finance, and building wealth on your own terms.

What does it actually take to be happy?

Matt O'Neill sold over $3 billion in real estate, helped 5,000+ families build wealth, and built the #1 workplace in South Carolina — and still found himself empty at the top.

In this episode he unpacks the 8 negative moods sabotaging your success, why the Harvard 100-year happiness study points to relationships over money, and the daily habits behind his Good Mood Revolution framework.

If you're a driven professional feeling burnt out chasing a goal that keeps moving, this one will reframe what true wealth really means.

📖 Get The Good Mood Revolution by Matt O'Neill on Amazon — https://amzn.eu/d/0c5TmzHVConnect with Matt O'Neill: 🌐 Website: https://mattoneill.com/📱 LinkedIn: https://www.linkedin.com/in/matt-o-neill-02528057/Connect with Bricks and Banks on:

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