AI for Scientific Research Specialization

In the AI for Scientific Research specialization, we'll 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. We'll share some existing libraries to help analyze your datasets. By the end of the course, you'll 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. We’ll describe the differences between the two techniques and explore how they differ. Then, we’ll complete a project predicting similarity between health patients using random forests.
In Course 4, a capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. By the end, you'll be well on your way to discovering ways to combat disease with genome sequencing.

WHAT YOU WILL LEARN
- How to use AI in scientific situations to discover trends and patterns within datasets
- The complete machine learning process
- U​se artificial intelligence to predict sequences in datasets
- Employ artificial intelligence techniques to test hypothesis in Python

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Neural Networks and Random Forests (Coursera)

Sep 27th 2021
Neural Networks and Random Forests (Coursera)
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In this course, we will build on our knowledge of basic models and explore advanced AI techniques. We’ll start with a deep dive into neural networks, building our knowledge from the ground up by examining the structure and properties. Then we’ll code some simple neural network models and learn [...]
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Machine Learning Models in Science (Coursera)

Sep 27th 2021
Machine Learning Models in Science (Coursera)
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This course is aimed at anyone interested in applying machine learning techniques to scientific problems. In this course, we'll learn about the complete machine learning pipeline, from reading in, cleaning, and transforming data to running basic and advanced machine learning algorithms. We'll start with data preprocessing techniques, such as [...]
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Sep 27th 2021
Course Auditing
32.00 EUR/month

Introduction to Data Science and scikit-learn in Python (Coursera)

Sep 27th 2021
Introduction to Data Science and scikit-learn in Python (Coursera)
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This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science before diving into some of its richer applications to test our created hypothesis. We'll learn some [...]
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Capstone Project: Advanced AI for Drug Discovery (Coursera)

Sep 27th 2021
Capstone Project: Advanced AI for Drug Discovery (Coursera)
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In this capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. The first step in drug discovery involves identifying target subsequences of theirs genome to target. We'll start by comparing the genomes of virus mutations to look [...]
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Sep 27th 2021
Course Auditing
32.00 EUR/month