AI for Scientific Research Specialization
- Offered byCoursera
- Public/Government Institute
AI for Scientific Research Specialization at Coursera Overview
AI for Scientific Research Specialization
at Coursera
Duration | 4 months |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
AI for Scientific Research Specialization
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
AI for Scientific Research Specialization at Coursera Highlights
AI for Scientific Research Specialization
at Coursera
- Earn a Certificate upon completion
Skills -Data Science,Artificial Neural Network,Artificial Intelligence (AI),Machine Learning,Random Forest,regression,Statistical Hypothesis Testing,medical data,Python Programming,PCA,identifying specieis,predictions in science
AI for Scientific Research Specialization at Coursera Course details
AI for Scientific Research Specialization
at Coursera
Skills you will learn
More about this course
- Learn how to use AI in scientific situations to discover trends and patterns within datasets
- Course 1 teaches a little bit about the Python language as it relates to data science
- Apply a classification model to predict the presence or absence of heart disease from a patient's health data
- Course 2 covers the complete machine learning pipeline, from reading in, cleaning, and transforming data to running basic and advanced machine learning algorithms.In the final project, we'll apply our skills to compare different machine learning models in Python
- In Course 3, we will build on our knowledge of basic models and explore more advanced AI techniques
AI for Scientific Research Specialization at Coursera Curriculum
AI for Scientific Research Specialization
at Coursera
Introduction to Data Science and scikit-learn in Python
Machine Learning Models in Science
Neural Networks and Random Forests
Capstone Project: Advanced AI for Drug Discovery
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