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
79,207 already enrolled
Included with
Gain insight into a topic and learn the fundamentals.
2,504 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
- Data Transformation
- Applied Machine Learning
- Machine Learning
- Machine Learning Algorithms
- Data Mining
- Descriptive Statistics
- Data Analysis
- Data Wrangling
- Big Data
- Exploratory Data Analysis
- Machine Learning Methods
- Model Training
- Statistical Analysis
- Machine Learning Software
- Regression Analysis
- Model Evaluation
- Unsupervised Learning
- Data Preprocessing
Tools you'll learn
Details to know
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Assessments
11 assignments
Taught in English
91% of learners achieved a positive career outcome
See how employees at top companies are mastering in-demand skills
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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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Showing 3 of 2504
DS
Reviewed on Sep 6, 2017
Hands n exercises and corresponding quizzes are great !Content could be more detailed, but may be I felt it so given my past exposure to ML. I enjoyed learning Knime and Spark.
BK
Reviewed on Mar 5, 2020
This is starting course for Machine Learning. Very well explained and after finishing this course, one will get interest in continuing and exploring further in Machine Learning field.
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.
