What is optimization?

Optimization is the act of selecting the best possible option to solve a mathematical problem when choosing from a set of variables. The concept of optimization has existed in mathematics for centuries, but in more recent times, scientists have discovered that other scientific disciplines have common elements, so the idea of optimization has carried over into other areas of study from engineering to economics to physics to biology. Optimization seeks to discover the maximum or minimum of a function to best solve a problem. It involves variables, constraints, and the objective function, or the goal that drives the solution to the problem. For example, in physics, an optimization problem might seek to discover the minimum amount of energy needed to achieve a certain objective. The advent of sophisticated computers has allowed mathematicians to achieve optimization more accurately across a wide range of functions and problems.

Why learn optimization?

Optimization helps data scientists and computer systems process data more effectively, estimate how many resources it will take to solve a problem, and search for the best solution based on the data available. These features make optimization a key tool that can help those who collect and analyze data. The methods of optimization work hand in hand with statistics and linear algebra to help you understand and process large amounts of data. Solving complex problems that rely on data becomes much easier when you apply the methods and formulas of optimization to them, which makes it essential for machine learning. In fact, today's computer science relies heavily on the relationship between machine learning and optimization. The principles of optimization apply in a different way in business, because nearly every business decision centers on maximizing or minimizing various factors and outcomes.

How can online courses on Coursera help me learn optimization?

When you study optimization with online courses on Coursera, you can gain a broad base of knowledge as well as applications that allow you to put what you learn into practice. Beginning courses include those in which you learn the basics of optimization, whereas more advanced courses go deeper into topics like stochastic processes, machine learning through specific applications, or how to estimate financial models.

Explorar
Optimization

Filtrar por

175 resultados para "optimization"

Gratis
Gratis
Gratis
Google Cloud
Machine Learning with TensorFlow on Google Cloud en Español
Habilidades que obtendrás: Agile Software Development, Applied Machine Learning, Artificial Neural Networks, Basic Descriptive Statistics, Business Analysis, Cloud API, Cloud Computing, Communication, Computer Programming, Critical Thinking, Data Analysis, Data Analysis Software, Data Management, Databases, Deep Learning, Exploratory Data Analysis, Feature Engineering, Front-End Web Development, Full-Stack Web Development, Google App Engine, Machine Learning, Machine Learning Algorithms, Marketing Management, Mathematics, Network Analysis, Probability & Statistics, Process Analysis, Python Programming, Research and Design, SQL, Software Engineering, Statistical Programming, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, Tensorflow, Web Development
4.6
(338 reseñas)
Intermediate · Specialization · 3-6 Months
Google Cloud
Intro to TensorFlow en Español
Habilidades que obtendrás: Computer Programming, Front-End Web Development, Web Development, Full-Stack Web Development, Python Programming, Agile Software Development, Tensorflow, Applied Machine Learning, Statistical Programming, Computer Program, Software Engineering, Deep Learning, Machine Learning
4.4
(122 reseñas)
Intermediate · Course · 1-3 Months
ESSEC Business School
Demand management: Breaking down today’s commercial silos
Habilidades que obtendrás: Accounting, Research and Design, Marketing, Leadership and Management, Organizational Development, Digital Marketing, Business Psychology, Entrepreneurship, User Research, Design and Product, Market Research, Communication, Budget Management, Demand, Human Computer Interaction, Finance, Marketing Management, Management Accounting
4.7
(325 reseñas)
Mixed · Course · 1-4 Weeks
Gratis

Búsquedas relacionadas con optimization

optimization for decision making

optimization of sql query tuning and performance

optimization methods in asset management

discrete optimization

portfolio optimization using markowitz model

convex optimization

search engine optimization

pricing strategy optimization

En síntesis, estos son los 10 cursos más populares optimization

Optimización de Redes Neuronales Profundas: Universidad Austral
Management Science Certificate: IIM Calcutta
Excel aplicado a los negocios (Nivel Avanzado): Universidad Austral
Réussir le Changement: ESSEC Business School
Getting started with TensorFlow 2: Imperial College London
Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
Desarrollo y Diseño de Videojuegos: Universidad de los Andes
Intro to TensorFlow en Español: Google Cloud
Demand management: Breaking down today’s commercial silos: ESSEC Business School
Electrónica Digital Bit a Bit: Fundamentos, Verilog y FPGA: Pontificia Universidad Católica de Chile

Habilidades que puedes aprender en Algorithms

Gráficos (22)

Optimización Matemática (21)

Programa De Computadora (20)

Estructura De Datos (19)

Resolución De Problemas (19)

Álgebra (12)

Visión Artificial (10)

Matemáticas Discretas (10)

Teoría De Grafos (10)

Procesamiento De Imágenes (10)

Álgebra Lineal (10)

Aprendizaje por refuerzo (10)

Preguntas frecuentes sobre Optimización

Optimization is the act of selecting the best possible option to solve a mathematical problem when choosing from a set of variables. The concept of optimization has existed in mathematics for centuries, but in more recent times, scientists have discovered that other scientific disciplines have common elements, so the idea of optimization has carried over into other areas of study from engineering to economics to physics to biology. Optimization seeks to discover the maximum or minimum of a function to best solve a problem. It involves variables, constraints, and the objective function, or the goal that drives the solution to the problem. For example, in physics, an optimization problem might seek to discover the minimum amount of energy needed to achieve a certain objective. The advent of sophisticated computers has allowed mathematicians to achieve optimization more accurately across a wide range of functions and problems.‎
Optimization helps data scientists and computer systems process data more effectively, estimate how many resources it will take to solve a problem, and search for the best solution based on the data available. These features make optimization a key tool that can help those who collect and analyze data. The methods of optimization work hand in hand with statistics and linear algebra to help you understand and process large amounts of data. Solving complex problems that rely on data becomes much easier when you apply the methods and formulas of optimization to them, which makes it essential for machine learning. In fact, today's computer science relies heavily on the relationship between machine learning and optimization. The principles of optimization apply in a different way in business, because nearly every business decision centers on maximizing or minimizing various factors and outcomes.‎
When you study optimization with online courses on Coursera, you can gain a broad base of knowledge as well as applications that allow you to put what you learn into practice. Beginning courses include those in which you learn the basics of optimization, whereas more advanced courses go deeper into topics like stochastic processes, machine learning through specific applications, or how to estimate financial models.‎

Se puso a disposición este contenido de preguntas frecuentes solo con fines informativos. Se les pide a los estudiantes que realicen investigaciones adicionales para asegurarse de que los cursos y otras credenciales cumplan con sus objetivos personales, profesionales y financieros.