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 NMIMS Indore
78,978 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
- Exploratory Data Analysis
- Model Evaluation
- Model Training
- Statistical Analysis
- Regression Analysis
- Data Preprocessing
- Machine Learning Software
- Big Data
- Unsupervised Learning
- Data Transformation
- Descriptive Statistics
- Machine Learning Algorithms
- Machine Learning
- Data Wrangling
- Data Mining
- Applied Machine Learning
- Machine Learning Methods
- Data 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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RC
Reviewed on Aug 31, 2018
Amazing training on ML for people starting their first experiences with the topic. Practical and easy to understand examples that can be further extended by the student.
RR
Reviewed on Dec 24, 2018
The Course was great giving a good overview of all Machine Learning Concepts. It is good starting point to understand Basics and Deep dive into Learning.
PU
Reviewed on Aug 24, 2018
This course strikes the right balance between theory and practice of introductory ML. The instructors have done a tremendous job of presenting the material.
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