Complete Data Science DS Programming Specialization ML Specialization ML Ops Specialization Forecasting Specialization Industry Projects Specialization Deep Learning Specialization Generative AI Specialization Optimization for Data Science Supplementary Courses

Optimization for Data Science

Dives into the core techniques and algorithms used to solve complex problems in AI and ML. Master optimization methods to enhance model performance and streamline data-driven decision-making.

Plans & Pricing

Steps to Learn Optimization for Data Science

Step 1

Introduction to Optimization

Learn foundational principles of Optimization. Formulate real-world problems and solving them using efficient mathematical techniques.

22 Lessons

Introduction to Optimization: Linear Programming

6 Lessons

Project: Inventory Planning and Holding Cost Optimization

4 Lessons

Optimization Part 2: Integer Programming

Step 2

Non Linear Optimization

Master non-linear problem solving with advanced techniques like gradient-based methods, Newton methods, and Sequential Quadratic Programming, while gaining hands-on experience through real-world industry case study.

11 Lessons

Non Linear Optimization

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Optimization for Data Science

Steps to Learn Optimization for Data Science

Step 1

Introduction to Optimization

Introduction to Optimization: Linear Programming

Project: Inventory Planning and Holding Cost Optimization

Optimization Part 2: Integer Programming

Step 2

Non Linear Optimization

Non Linear Optimization