Making Math Matter
Construa modelos preditivos e automatizados
Evolua em sua carreira com um certificado que antecipa seu sucesso!
In this course, you'll hone your problem-solving skills through learning to find numerical solutions to systems of differential equations. You'll write code in Python to fight forest fires, rescue the Apollo 13 astronauts, stop the spread of epidemics, and resolve other real-world dilemmas.
Aulas com profissionais do setor
Ritmo individual de aprendizado
Comunidade de apoio aos alunos
Este curso aberto é seu primeiro passo em direção a uma nova carreira com o programa Engenheiro de Machine Learning
Enhance your skill set and boost your hirability through innovative, independent learning.
Accelerate your career with the credential that fast-tracks you to job success.
You'll need a basic knowledge of programming in Python for this course, around the level of Intro to Computer Science. An understanding of Python packages, as discussed in Programming Foundations with Python, will also be helpful.
In addition, you'll need to feel comfortable with trigonometry at the high school level, as well as basic vector algebra. This class will primarily involve solving differential equations numerically rather than analytically, but some exposure to calculus and physics at the level of Intro to Physics wouldn't hurt.
Most of all, bring with you a love of learning and problem solving!
By the end of this course, you'll develop an intuition for the use of differential equations in the applied sciences. You'll also learn how to build mathematical models for systems of differential equations using a variety of techniques. Along the way, you'll learn how to translate mathematical expressions into Python code and solve some really cool problems!
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