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 Beesuite Academy
79,257 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
- Machine Learning
- Data Analysis
- Data Mining
- Data Transformation
- Descriptive Statistics
- Data Preprocessing
- Machine Learning Algorithms
- Applied Machine Learning
- Big Data
- Machine Learning Methods
- Data Wrangling
- Statistical Analysis
- Machine Learning Software
- Exploratory Data Analysis
- Model Training
- Model Evaluation
- Regression Analysis
- Unsupervised Learning
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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Showing 3 of 2504
NP
Reviewed on Jul 2, 2019
This course provides you starting point to start working in KNIME and helps you in explaining basic statistics concepts along with its application in KNIME and Spark
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.
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.
