开始时间: 12/21/2023 持续时间: Approximately 4 months to complete Suggested pace of 3 hours/week
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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/artificial-intelligence-scientific-research
课程评论：没有评论
What you will learn
How to use AI in scientific situations to discover trends and patterns within datasets
The complete machine learning process
Use artificial intelligence to predict sequences in datasets
Employ artificial intelligence techniques to test hypothesis in Python
Skills you will gain
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
About this 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.
Applied Learning Project
Each course in this specialization contains practice labs built on the Coursera lab platform. You will use the provided libraries and models to perform machine learning and AI instructions that help answer important questions in your dataset. The final course is a capstone project where you will compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. It begins with the basic setup and walks through the entire analysis process.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Beginner Level
There are no specific background requirements; however, it is very helpful to understand scientific methods, mathematics and general computer logic.
Hours to complete
Approximately 4 months to complete
Suggested pace of 3 hours/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Beginner Level
Beginner Level
There are no specific background requirements; however, it is very helpful to understand scientific methods, mathematics and general computer logic.
Hours to complete
Approximately 4 months to complete
Suggested pace of 3 hours/week
Available languages
English
Subtitles: English
Course Link: https://www.coursera.org/learn/data-science-and-scikit-learn-in-python
Name:Introduction to Data Science and scikit-learn in Python
Description:Offered by LearnQuest. This course will teach you how to leverage the power of Python and artificial intelligence to create and test ... Enroll for free.
Course Link: https://www.coursera.org/learn/machine-learning-models-in-science
Name:Machine Learning Models in Science
Description:Offered by LearnQuest. This course is aimed at anyone interested in applying machine learning techniques to scientific problems. In this ... Enroll for free.
Course Link: https://www.coursera.org/learn/neural-networks-random-forests
Name:Neural Networks and Random Forests
Description:Offered by LearnQuest. In this course, we will build on our knowledge of basic models and explore advanced AI techniques. We’ll start with a ... Enroll for free.
Course Link: https://www.coursera.org/learn/ai-for-drug-discovery
Name:Capstone Project: Advanced AI for Drug Discovery
Description:Offered by LearnQuest. In this capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a ... Enroll for free.
