Machine Learning With Big Data
This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will learn how 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, and analyze big data problems using scalable machine learning algorithms on Spark. By the end of the course, you will be able to confidently use machine learning with big data. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [May 30th, 2023]
Welcome to the Machine Learning With Big Data course! This course is designed to help you understand the fundamentals of machine learning and how to apply them to big data problems. You will learn how to use the latest tools and algorithms to create machine learning models that can learn from data and scale up to large datasets. You will also gain an understanding of the steps in the machine learning process and how to apply the appropriate set of techniques to solve different types of problems.
By taking this course, you will gain the skills and knowledge necessary to make data-driven decisions and to leverage data to gain insights. This course is ideal for those looking to develop their career in data science, analytics, or machine learning, as well as those looking to gain a better understanding of the fundamentals of machine learning and big data.
In this course, you will learn how to use Cloudera VM, KNIME, and Spark to explore, analyze, and leverage data. You will be introduced to the steps in the machine learning process and how to apply the appropriate set of techniques to solve different types of problems. You will also learn how to construct models that learn from data using widely available open source tools and how to analyze big data problems using scalable machine learning algorithms on Spark.
By the end of this course, you will have the skills and knowledge necessary to make data-driven decisions and to leverage data to gain insights. You will also 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, and construct models that learn from data using widely available open source tools. Additionally, you will be able to analyze big data problems using scalable machine learning algorithms on Spark.
Pros & Cons
Well balanced, concise approach.
Easy to understand lectures.
Hands on activities are easy to follow.
Outdated software and lack of maintenance.
Wrong instructions in hands on assignments.
Basic content and lack of complexity.
Course Provider
Provider Coursera's Stats at AZClass
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