Acerca de este Curso

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Certificado para compartir
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100 % en línea
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Curso 2 de 6 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 5 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Habilidades que obtendrás

Data ScienceArtificial Intelligence (AI)Machine LearningBig DataSpark
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 2 de 6 en
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel intermedio
Aprox. 5 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Instructor

ofrecido por

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IBM

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

2 horas para completar

Week 1: Introduction

2 horas para completar
6 videos (Total 44 minutos), 6 lecturas, 2 cuestionarios
6 videos
What is Big Data?11m
Data storage solutions5m
Parallel data processing strategies of Apache Spark7m
Functional programming basics6m
Resilient Distributed Dataset and DataFrames - ApacheSparkSQL6m
6 lecturas
Course Syllabus10m
Setup of the grading and exercise environment10m
Exercise 1 - working with RDD10m
Exercise 2 - functional programming basics with RDDs10m
Exercise 3 - working with DataFrames10m
Programming Lanuage Options for Apache Spark (optional)10m
2 ejercicios de práctica
Practice Quiz (Ungraded) - Apache Spark concepts8m
Apache Spark and parallel data processing
Semana
2

Semana 2

1 hora para completar

Week 2: Scaling Math for Statistics on Apache Spark

1 hora para completar
8 videos (Total 52 minutos), 3 lecturas, 4 cuestionarios
8 videos
Standard deviation3m
Skewness3m
Kurtosis2m
Covariance, Covariance matrices, correlation13m
Plotting with ApacheSpark and python's matplotlib12m
Dimensionality reduction4m
PCA5m
3 lecturas
Exercise 1 - statistics and transfomrations using DataFrames10m
Exercise on Plotting10m
Exercise on PCA10m
4 ejercicios de práctica
Practice Quiz (Ungraded) - Statistics and API usage on Spark4m
Parallelism in Apache Spark 
Questions on Plotting
Questions on PCA
Semana
3

Semana 3

1 hora para completar

Week 3: Introduction to Apache SparkML

1 hora para completar
5 videos (Total 34 minutos), 2 lecturas, 3 cuestionarios
5 videos
Introduction to SparkML20m
Extract - Transform - Load3m
Introduction to Clustering: k-Means3m
Using K-Means in Apache SparkML2m
2 lecturas
Exercise 1: Modifying a Apache SparkML Feature Engineering Pipeline10m
Exercise 2 - Working with Clustering and Apache SparkML10m
3 ejercicios de práctica
Practice Quiz (Ungraded) - ML Pipelines4m
SparkML concepts 
Practice Quiz (Ungraded) - SparkML Algorithms
Semana
4

Semana 4

1 hora para completar

Week 4: Supervised and Unsupervised learning with SparkML

1 hora para completar
4 videos (Total 18 minutos), 2 lecturas, 2 cuestionarios
4 videos
LinearRegression with Apache SparkML6m
Logistic Regression1m
LogisticRegression with Apache SparkML4m
2 lecturas
Exercise 1 - Improving Classification performance10m
Course Project10m
2 ejercicios de práctica
Practice Quiz (Ungraded) - SparkML Algorithms (2)4m
Course Project Quiz

Revisiones

Principales revisiones sobre SCALABLE MACHINE LEARNING ON BIG DATA USING APACHE SPARK

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Acerca de Certificado profesional de IBM AI Engineering

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

Preguntas Frecuentes

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

  • Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.

  • Este Curso no otorga crédito universitario, pero algunas universidades pueden aceptar los Certificados del curso para obtener crédito. Consulta con tu institución para obtener más información. Los Títulos en línea y los Certificados Mastertrack™ de Coursera brindan la oportunidad de obtener créditos universitarios.

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