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
79,159 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 Analysis
- Model Training
- Regression Analysis
- Machine Learning Methods
- Data Preprocessing
- Machine Learning
- Data Wrangling
- Statistical Analysis
- Data Mining
- Model Evaluation
- Big Data
- Machine Learning Software
- Machine Learning Algorithms
- Data Transformation
- Descriptive Statistics
- Exploratory Data Analysis
- Unsupervised Learning
- Applied Machine Learning
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
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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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.
SM
Reviewed on Dec 3, 2017
The precise definitions for many commonly used terms were very helpful. You do not find these details in many books or documents. Also, using KNIME was also interesting
TA
Reviewed on Dec 26, 2019
The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.
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