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 Vanderbilt University
79,385 already enrolled
2,505 reviews
Skills you'll gain
- Regression Analysis
- Big Data
- Exploratory Data Analysis
- Applied Machine Learning
- Machine Learning
- Statistical Analysis
- Machine Learning Algorithms
- Data Preprocessing
- Data Transformation
- Model Training
- Data Wrangling
- Machine Learning Methods
- Descriptive Statistics
- Unsupervised Learning
- Data Mining
- Data Analysis
- Machine Learning Software
- Model Evaluation
Tools you'll learn
Details to know

Add to your LinkedIn profile
11 assignments
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors


Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
70.81%
- 4 stars
23.43%
- 3 stars
4.03%
- 2 stars
0.99%
- 1 star
0.71%
Showing 3 of 2505
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.
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.
Reviewed on Jul 30, 2020
I am so much pleased with this course. Very much convinced by the presentation, way of speech, and the script of the Instructor. I am so excited to learn more about Machine Learning.




