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Course Features
- Lectures 7
- Quizzes 0
- Duration 2 day
- Skill level Mid Level
- Language English
- Students 0
- Assessments Yes
0 student
Course Details
Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome.
learn about not only the theoretical underpinnings of learning but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.
Course objectives
- Understand the components of a machine learning algorithm.
- Apply machine learning tools to build and evaluate predictors.
- How machine learning uses computer algorithms to search for patterns in data
- How to uncover hidden themes in large collections of documents using topic modelling.
- How to use data patterns to make decisions and predictions with real-world examples
- 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
Participants Key Benefits
- Interact with Industry training expert and work on real-life challenges.
- Learn Blockchain-related skills & build decentralized applications.
- Create blockchain strategies and solutions across different functional domains.
- Hands-on implementation of blockchain technology in banking, healthcare, many other fields
- our program explores the career & research opportunities in blockchain
- Get training certificate with Eduxlabs in association with NSS of IIT-Roorkee.
- Top attendees will get Certificate of Excellence with EduxLabs in association with NSS of IIT-Roorkee.
Hands on Machine Learning Projects
- Understand the components of a machine learning algorithm. Copy
- Apply machine learning tools to build and evaluate predictors. Copy
- How machine learning uses computer algorithms to search for patterns in data Copy
- How to uncover hidden themes in large collections of documents using topic modelling. Copy
- How to use data patterns to make decisions and predictions with real-world examples Copy
- How to prepare data, deal with missing data and create custom data analysis solutions for different industries Copy
- Basic and frequently used algorithmic techniques including sorting, searching, greedy algorithms and dynamic programming Copy
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