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
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Machine Learning With Big Data
This course is part of Big Data Specialization
Instructors: Mai Nguyen
79,119 already enrolled
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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
- Applied Machine Learning
- Machine Learning
- Data Analysis
- Machine Learning Algorithms
- Big Data
- Model Training
- Data Transformation
- Model Evaluation
- Exploratory Data Analysis
- Statistical Analysis
- Descriptive Statistics
- Data Preprocessing
- Machine Learning Software
- Data Wrangling
- Regression Analysis
- Data Mining
- Machine Learning Methods
- Unsupervised Learning
Tools you'll learn
Details to know
Shareable certificate
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Assessments
11 assignments
Taught in English
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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.
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
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There are 7 modules in this course
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O.P. Jindal Global University
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JB
Reviewed on Oct 30, 2018
Reasonable overview. The VM environment is a major challenge for my hardware. Takes more time to make it work than it should. I am wondering if a cloud solution e.g. GCP would be better.
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.
GG
Reviewed on May 4, 2020
Great Learning from this course surely one have to take this course for the clarification of conceptual as well as practical implementation of Machine Learning
