AI for Medicine

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Below are the top discussions from Reddit that mention this online Coursera specialization from DeepLearning.AI.

AI is transforming the practice of medicine.

model interpretation Image Segmentation natural language extraction Machine Learning time-to-event modeling Deep Learning model evaluation Multi-class classification Random Forest model tuning treatment effect estimation machine learning interpretation

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Taught by
Pranav Rajpurkar
Instructor
and 3 more instructors

Offered by
DeepLearning.AI

This specialization includes these 1 courses.

Reddit Posts and Comments

0 posts • 3 mentions • top 2 shown below

r/medical_datascience • post
3 points • katienec
AI for Medicine (Coursera)

Does anyone try the coursera course for AI for Medicine offered by deeplearning.ai? It has a few shortcomings like the very terse explanation of ROC curve but it could be useful for someone.

r/learnpython • comment
1 points • my_password_is______

in order


https://www.coursera.org/specializations/deep-learning

Deep Learning Specialization

5 course specialization

  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models

In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach.


https://www.coursera.org/specializations/tensorflow-in-practice

TensorFlow in Practice Specialization

4 course specialization

  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
  • Convolutional Neural Networks in TensorFlow
  • Natural Language Processing in TensorFlow
  • Sequences, Time Series and Prediction

In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!


https://www.coursera.org/specializations/ai-for-medicine

AI for Medicine Specialization

3 course specialization

  • AI for Medical Diagnosis
  • AI for Medical Prognosis
  • AI For Medical Treatment

  • In Course 1, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders.

  • In Course 2, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis.
  • In Course 3, you will build a treatment effect predictor, apply model interpretation techniques and use natural language processing to extract information from radiology reports.

You don't need to be an AI expert, but a working knowledge of deep neural networks, particularly convolutional networks, and proficiency in Python programming at an intermediate level will be essential. If you are relatively new to machine learning or neural networks, we recommend that you first take the Deep Learning Specialization, offered by deeplearning.ai and taught by Andrew Ng.