Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems.
Machine Learning With Big Data
Machine Learning With Big Data
This course is part of Big Data Specialization
Instructors: Mai Nguyen
Access provided by Barbados NTI
78,740 already enrolled
Gain insight into a topic and learn the fundamentals.
2,503 reviews
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Skills you'll gain
- Statistical Analysis
- Data Wrangling
- Data Preprocessing
- Machine Learning Methods
- Model Training
- Machine Learning
- Data Analysis
- Descriptive Statistics
- Machine Learning Software
- Model Evaluation
- Data Transformation
- Machine Learning Algorithms
- Regression Analysis
- Data Mining
- Applied Machine Learning
- Unsupervised Learning
- Big Data
- Exploratory Data Analysis
Tools you'll learn
Details to know
Shareable certificate
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Assessments
11 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Big Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 7 modules in this course
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JA
Reviewed on May 9, 2017
Great overview about the machine learning in general. There are still lots not covered specially the Neural Network algorithms. Learning Spark MLlib was great advantage of this course.
RR
Reviewed on Dec 24, 2018
The Course was great giving a good overview of all Machine Learning Concepts. It is good starting point to understand Basics and Deep dive into Learning.
JC
Reviewed on Dec 8, 2018
Interesting material. Ran into several issues with the hands on that could have been avoided. Loved learning more about Neo4J. The section on Spark needed more time and additional descriptions.
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