SUMMARY |
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👨💼 Sponsor: Columbia University |
📚 Field: Data Science and Analysis |
🌐 Host: edX |
🎓 Mode: Online |
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About this course
Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.
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This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.
At a glance
- Institution: ColumbiaX
- Subject: Computer Science
- Level: Introductory
- Prerequisites:
- High school math
- Some exposure to computer programming
- Language: English
- Associated programs:
- Professional Certificate in Data Science for Executives.
What you’ll learn
- What machine learning is and how it is related to statistics and data analysis
- How machine learning uses computer algorithms to search for patterns in data
- How to use data patterns to make decisions and predictions with real-world examples from healthcare involving genomics and preterm birth
- How to uncover hidden themes in large collections of documents using topic modelling
- How to prepare data, deal with missing data and create custom data analysis solutions for different industries
- Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming.
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