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
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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
- Machine Learning Methods
- Machine Learning Software
- Statistical Analysis
- Data Transformation
- Machine Learning
- Data Wrangling
- Model Evaluation
- Machine Learning Algorithms
- Data Preprocessing
- Model Training
- Unsupervised Learning
- Regression Analysis
- Data Analysis
- Applied Machine Learning
- Data Mining
- Big Data
- Exploratory Data Analysis
- Descriptive Statistics
Tools you'll learn
Details to know
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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.
- Learn new concepts from industry experts
- 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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LB
Reviewed on Oct 18, 2017
This is by far the most enjoyable course of the big data specialization, i loved the teaching approach and enjoyed all the hands on exercises. Great job!
LO
Reviewed on Feb 27, 2017
Very well explained course on Machine Learning. I am grateful for the highly insightful course like this. I will recommend this course for all data enthusiasts.
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.
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