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 [Covid Portal 2] Thapar University
79,068 already enrolled
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 Wrangling
- Statistical Analysis
- Model Evaluation
- Applied Machine Learning
- Model Training
- Data Analysis
- Descriptive Statistics
- Data Preprocessing
- Machine Learning Software
- Machine Learning Methods
- Data Transformation
- Exploratory Data Analysis
- Machine Learning Algorithms
- Unsupervised Learning
- Machine Learning
- Big Data
- Data Mining
- Regression 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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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.
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.
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.
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