Build sought-after skills in Spark MLlib. Learn about its data types, algorithms, and parameters. Explore vectors, matrices, clustering, decision trees, and more. Plus, get hands-on experience through online labs.
Discover how to make machine learning scalable and easy and boost your data science career.
Earn your certificate
Once you have completed this course, you will earn your certificate.Preview digital certificate
- IBM Certificate
About this course
- 05 Modules
- 03 Skills
- Discussion space
- 04 Labs
- 04 Quiz
- 01 Final exam
- Text analytics
- Decision trees and random forests
Exercises to explore
- Review of algorithms
- Linear regression and classification
- Introduction to Spark MLlib with Python
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You'll learn with these experts
Constructed on top of a distributed computing platform called Spark, the MLlib machine-learning library provides a collection of common learning algorithms and utilities such as classification and regression, as well as clustering and collaborative filtering. It also includes dimensionality reduction and underlying optimization primitives.
The most significant distinction between the two is the data types they offer, with MLlib supporting RDDs and ML supporting DataFrames and Datasets, respectively.
Yes, the data types used by Spark MLlib will be explored in detail throughout the first module of this course. You will learn about local matrices, row indexed rows, coordinate distributed matrices, and block matrices.
This course is self-paced, which means that you can work at a pace that suits you. It does not follow a predetermined timetable, unlike scheduled live sessions. You are free to work at your own speed if you complete the modules and the course before the deadline. You will also have access to the course discussion space where you can ask questions and discuss topics with fellow learners.
Data analysts, application developers, and data engineers are the good candidates for this course.
Yes, you will be issued an IBM Certificate once you have successfully completed this Spark MLlib course. You can also add this certificate to your LinkedIn profile and your resumé to demonstrate your knowledge to prospective employers.
Yes. To earn your IBM Certificate, you must complete all knowledge checks and the final exam with an average score of 70%.
Yes. Spark MLlib is 100% online. All you need is a good connection to the internet to access the course materials.
As soon as you enroll in the Spark MLlib course, you will be able to access the course materials through your dashboard. The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exams questions.