Aprendizaje de minería de datos con R

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Aprendizaje de minería de datos con R. dinámico, programación funcional en la máquina virtual de Java, CLR, y JavaScript

85,00  85,00 

Descripción

No te pierdas este fabuloso curso online llamado Aprendizaje de minería de datos con R. Es 100% online y comenzarás justo en el momento de matricularte. Tú serás el que marques tu propio ritmo de aprendizaje.

Breve descripción del curso llamado Aprendizaje de minería de datos con R

dinámico, programación funcional en la máquina virtual de Java, CLR, y JavaScript

El profesor de este fabuloso curso 100% online es Packt Publishing, un auténtico experto en la materia, y con el que aprenderás todo lo necesario para ser más competitivo. El curso se ofrece en Inglés.

Descripción completa del curso llamado Aprendizaje de minería de datos con R

Course Description Data mining is a growing demand on the market as the world is generating data at an increasing pace. R is a popular programming language for statistics. It can be used for day-to-day data analysis tasks. Data mining is a very broad topic and takes some time to learn. This course will help you to understand the mathematical basics quickly, and then you can directly apply what you’ve learned in R. This course covers each and every aspect of data mining in order to prepare you for real-world problems. You’ll come to understand the different disciplines in data mining. In every discipline, there exist a variety of different algorithms. At least one algorithm of the various classes of algorithms will be covered to give you a foundation to further apply your knowledge to dive deeper into the different flavors of algorithms. After completing this course, you will be able to solve real-world data mining problems. About The Author Romeo Kienzler is a Chief Data Scientist at the IBM Watson IoT Division. In his role, he is involved in international data mining and data science projects to ensure that clients get the most out of their data. He works as an Associate Professor for data mining at a Swiss University and his current research focus is on cloud-scale data mining using open source technologies including R, ApacheSpark, SystemML, ApacheFlink, and DeepLearning4J. He also contributes to various open source projects. Additionally, he is currently writing a chapter on Hyperledger for a book on Blockchain technologies.

Información adicional

Profesor

Packt Publishing

Lecciones

30

Duración

2.5

Nivel

Intermedio

Idioma

Inglés

Incluye

Acceso de por vida <br/> Devolución a los 30 días garantizada <br/> Disponible en iOS y Android <br/> Certificado de finalización

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Información adicional

Profesor

Packt Publishing

Lecciones

30

Duración

2.5

Nivel

Intermedio

Idioma

Inglés

Incluye

Acceso de por vida <br/> Devolución a los 30 días garantizada <br/> Disponible en iOS y Android <br/> Certificado de finalización

No te pierdas este fabuloso curso online llamado Aprendizaje de minería de datos con R. Es 100% online y comenzarás justo en el momento de matricularte. Tú serás el que marques tu propio ritmo de aprendizaje.

Breve descripción del curso llamado Aprendizaje de minería de datos con R

dinámico, programación funcional en la máquina virtual de Java, CLR, y JavaScript

El profesor de este fabuloso curso 100% online es Packt Publishing, un auténtico experto en la materia, y con el que aprenderás todo lo necesario para ser más competitivo. El curso se ofrece en Inglés.

Descripción completa del curso llamado Aprendizaje de minería de datos con R

Course Description Data mining is a growing demand on the market as the world is generating data at an increasing pace. R is a popular programming language for statistics. It can be used for day-to-day data analysis tasks. Data mining is a very broad topic and takes some time to learn. This course will help you to understand the mathematical basics quickly, and then you can directly apply what you’ve learned in R. This course covers each and every aspect of data mining in order to prepare you for real-world problems. You’ll come to understand the different disciplines in data mining. In every discipline, there exist a variety of different algorithms. At least one algorithm of the various classes of algorithms will be covered to give you a foundation to further apply your knowledge to dive deeper into the different flavors of algorithms. After completing this course, you will be able to solve real-world data mining problems. About The Author Romeo Kienzler is a Chief Data Scientist at the IBM Watson IoT Division. In his role, he is involved in international data mining and data science projects to ensure that clients get the most out of their data. He works as an Associate Professor for data mining at a Swiss University and his current research focus is on cloud-scale data mining using open source technologies including R, ApacheSpark, SystemML, ApacheFlink, and DeepLearning4J. He also contributes to various open source projects. Additionally, he is currently writing a chapter on Hyperledger for a book on Blockchain technologies.