Calculus for Machine Learning and Data Science

Instructor: Luis Serrano

Intermediate Level • 1 week at 10 hours a week • Flexible Schedule

What You'll Learn

                Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients
Approximately optimize different types of functions commonly used in machine learning
Visually interpret differentiation of different types of functions commonly used in machine learning
Perform gradient descent in neural networks with different activation and cost functions

            

Skills You'll Gain

Machine Learning
Python Programming
Numerical Analysis
Artificial Neural Networks
Regression Analysis
Mathematical Modeling
Applied Mathematics
Deep Learning
Calculus
Derivatives

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

                    
                                Learn new concepts from industry experts
                            
                                Gain a foundational understanding of a subject or tool
                            
                                Develop job-relevant skills with hands-on projects
                            
                                Earn a shareable career certificate

There are 3 modules in this course

After completing this course, you will be able to:

Calculus for Machine Learning and Data Science

Instructor: Luis Serrano

What You'll Learn

Skills You'll Gain

Shareable Certificate

Outcomes

There are 3 modules in this course

Week 1 - Derivatives and Optimization 8 hours to complete

Week 2 - Gradients and Gradient Descent 7 hours to complete

Week 3 - Optimization in Neural Networks and Newton's Method 10 hours to complete