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.
About this Course
Learner Career Outcomes
Approx. 16 hours to complete
Learner Career Outcomes
Approx. 16 hours to complete
University of California San Diego
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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TOP REVIEWS FROM MACHINE LEARNING WITH BIG DATA
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.
This is a valuable course in learning the basics of machine learning. but I was hoping to to get more hands on practice in this course. but overall, i learned a lot with the existing content.
Excellent course, I learned a lot about machine learning with big data, but most importantly I feel ready to take it into more complex level although I realized there is lots to learn.
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.
This is starting course for Machine Learning. Very well explained and after finishing this course, one will get interest in continuing and exploring further in Machine Learning field.
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.
The fact that the assignments are graded means that there’s incentive to work on them, solve problems, and ask questions. Traditional online courses don’t offer that incentive.
This has given me foundational knowledge in Machine Learning for someone who is not a practitioner. Thank you Mai Nguyen for the excellent course presentation. Keep it up.
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
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
Very well explained course on Machine Learning. I am grateful for the highly insightful course like this. I will recommend this course for all data enthusiasts.
This course strikes the right balance between theory and practice of introductory ML. The instructors have done a tremendous job of presenting the material.
This is by far the most enjoyable course of the big data specialization, i loved the teaching approach and enjoyed all the hands on exercises. Great job!
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.
Very good blend of Machine learning and BigData. I like KNIME usage during this course, this helped me to practice without getting too much in to coding
This is a good course to understand how we can apply basic ML algorithm like classification, clustering using KNIME and Spark ML on very high level.
Really fun, glad I finally finished. I got so distracted running off and learning things. I got familiar with scala and python along the way too.
Love this course , given me good understanding of Machine Learning , Also introduced two tools - KNIME and Spark Mlib with really good hands on
Excellent course!!!!\n\nI learned a lot. The course structure, topics, explanations and activities were very precise. Thanks to the tutors.
Wonderful teacher! Excellent course! But if you really want to learn Machine learning with Big Data, you have to work yourself on a project
About the Big Data Specialization
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
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. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.