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Machine Learning With Big Data

Big Data,

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

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Rating 4.3★ based on 275 ratings
Length 6 weeks
Effort 5 Weeks, 3 - 5 hours per week
Starts Jun 26 (43 weeks ago)
Cost $79
From University of California San Diego via Coursera
Instructors Mai Nguyen, Ilkay Altintas
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Machine Learning

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What people are saying

with big data

I like KNIME usage during this course, this helped me to practice without getting too much in to coding Much helpful for me in my academics.Excellent... Great course for Machine learning with Big Data It was a basic course for initial understanding about Machine learning.

Great to start with big Data Not hard, a very beginner-level course.

But if you really want to learn Machine learning with Big Data, you have to work yourself on a project Great experience, valuable knowledge and encouraging tests.

It was a great introduction to machine learning with big data.

It's ok for an extremely high-level overiew Excelent Introductory course to MACHINE LEARNING with Big Data.

best place to begin with Big Data and ML!

It also laid the foundation for understanding and dealing with the practical implementation of the machine learning algorithms and their implementation in big data which eventually elevated my understanding of applications dealing machine learning with Big Data.

Machine learning is too simplified and spark part is not even explained, also very little relation of all course with Big Data.

great experience and learned about Machine Learning with Big Data great for learning ML Excellent course!!!

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.

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about machine learning

I would suggest to take this course for getting a brief knowledge about Machine Learning and Big Data.

But Since this course is about big data and not about Machine learning, you have keep in the mind the concepts of deep learning.

This course help me to understand the missing point of my learning about Machine Learning.

Great The course should cover more topics about Machine Learning.

I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11)I did this specialization to get new knowledge about Machine Learning and better understand the technology and your practical applications.

I miss some technical information about machine learning techniques such as neural networks.

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knowledge about

Good course to have a first hand and concise knowledge about various machine learning algorithms Its a great course!

In my opinion, if you have done some research by yourself this won't provide you new knowledge about the topic.

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Rating 4.3★ based on 275 ratings
Length 6 weeks
Effort 5 Weeks, 3 - 5 hours per week
Starts Jun 26 (43 weeks ago)
Cost $79
From University of California San Diego via Coursera
Instructors Mai Nguyen, Ilkay Altintas
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming
Tags Data Science Machine Learning

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