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There are 7 modules in this course
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.
At the end of the course, you will be able to:
• Design an approach to leverage data using the steps in the machine learning process.
• Apply machine learning techniques to explore and prepare data for modeling.
• Identify the type of machine learning problem in order to apply the appropriate set of techniques.
• Construct models that learn from data using widely available open source tools.
• Analyze big data problems using scalable machine learning algorithms on Spark.
Software Requirements:
Cloudera VM, KNIME, Spark
What's included
2 videos2 discussion prompts
Show info about module content
2 videos•Total 14 minutes
Welcome to Machine Learning With Big Data•4 minutes
Summary of Big Data Integration and Processing•11 minutes
2 discussion prompts•Total 20 minutes
Getting to Know You: Tell us about yourself and why you are taking this course.•10 minutes
Discussion Forum for Course Content Issues•10 minutes
Introduction to Machine Learning with Big Data
Module 2•3 hours to complete
Module details
What's included
7 videos6 readings1 assignment1 discussion prompt
Show info about module content
7 videos•Total 45 minutes
Machine Learning Overview•8 minutes
Categories Of Machine Learning Techniques•8 minutes
Machine Learning Process•3 minutes
Goals and Activities in the Machine Learning Process•11 minutes
CRISP-DM•5 minutes
Scaling Up Machine Learning Algorithms•5 minutes
Tools Used in this Course•5 minutes
6 readings•Total 125 minutes
Slides: Machine Learning Overview and Applications•25 minutes
Downloading and Installing Docker Desktop Instructions•10 minutes
Instroduction to Jupyter Notebooks•10 minutes
Downloading Hands-On Materials•10 minutes
Basic terminal shell commands•10 minutes
Downloading, Installing and Using KNIME•60 minutes
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
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Learner reviews
4.6
2,504 reviews
5 stars
70.80%
4 stars
23.44%
3 stars
4.03%
2 stars
0.99%
1 star
0.71%
Showing 3 of 2504
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PT
5·
Reviewed on Jan 8, 2017
The course was the best introduction I had for machine learning. Helped me a lot to understand different concepts from people who already know about the subject and I didn't have any idea.
R
RR
5·
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.
S
SM
4·
Reviewed on Dec 3, 2017
The precise definitions for many commonly used terms were very helpful. You do not find these details in many books or documents. Also, using KNIME was also interesting
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.