Скачать или смотреть Why optimization makes you a better Data scientist

Are you tired of your powerful prediction models sitting on a shelf?

You've mastered Python, Pandas, and Machine Learning. You can predict demand, prices, and trends with incredible accuracy. Yet, your work rarely leads to a concrete business decision or a million-dollar change in operations.

That's because prediction is only half the battle.

This video reveals the single missing skill that separates a great Data Scientist from a high-impact Decision Scientist: Optimization (also known as Operations Research).

In this video, you will learn:
The Critical Gap: Why Machine Learning only tells you what might happen (Prediction), while Optimization tells you what to do about it (Decision).

Real-World Power: How companies like Amazon, Uber, and Netflix use optimization to drive everything from routing and pricing to supply chain and recommendations.

Optimization, Simplified: We break down the core concept of maximizing profit or minimizing cost under constraints (time, budget, capacity) using simple examples (like your GPS).

The Integration Pipeline: See a clear example of how to combine an ML Regression Model (predicting demand) with an Optimization Model (planning production and delivery) to achieve Intelligent Automation.

Your 4-Step Roadmap: A clear, practical plan for learning optimization using Python libraries like PuLP and Pyomo, moving from Linear Programming basics to advanced projects.

If you want to move beyond analysis and become the person who engineers intelligence and runs the future of the business, this video is your starting line.