it:ai_courses
artificial intelligence courses
see also:
Introduction
- general pre-requisites are:
- healthcare knowledge base
- Python programming
- Read, understand, and write code in Python, including language constructs such as functions and classes.
- Read code using vectorized operations with the NumPy library.
- probability theory
- single variable calculus
- vectors and matrices
- machine learning
- Build a machine learning model for a supervised learning problem and understand basic methods to represent categorical and numerical features as inputs for this model
- Perform simple machine learning tasks, such as classification and regression, from a set of features
- Apply basic knowledge of Python data and machine learning frameworks (Pandas, NumPy, TensorFlow, PyTorch) to manipulate and clean data for consumption by different estimators/algorithms (e.g. CNNs, RNNs, tree-based models).
- syllabus may include:
- clinical data
- clinical knowledge systems such as physiologic time series, differential diagnosis, disease progression and modelling
- risk stratification
- survival modelling
- Clinical Natural Language Processing
- Causal Inference from Observational Data
- AI risks
- algorithmic bias
- difficulty of generalizing AI models
- use case examples
- diagnosis
- precision medicine - patient-centric care
- prediction models
Online short courses 2023
- RMIT AI Programming with Python - 12 weeks (8-10 hours per week)
- RMIT Developing AI Strategy - 6 weeks (5-8 hours per week)
- Latrobe Uni - Graduate Certificate in Artificial Intelligence $15,300? 6 month course Start Date: 27 FEBRUARY 2023
- Udemy course The Complete Healthcare Artificial Intelligence Course 2022 $27 for 19hrs videos;
- Harvard AI for Health Care 4 day overview course
- Aust Inst. of ICT AI course - 6 months online, four exams across four certifications that need to be undertaken in-person at a testing centre near you, or in an online proctored environment; $4,544 fee.
- Udacity:
- Udacity AI Programming with Python 3 months at 10hrs/wk
- the programming tools (Python, NumPy, PyTorch)
- the math (calculus and linear algebra)
- key techniques of neural networks (gradient descent and backpropagation).
- Udacity Deep Learning 4 months at 10hrs/wk
- Convolutional Neural Networks
- RNNs & Transformers
- Building Generative Adversarial Networks
- Udacity Intro to Machine Learning with PyTorch 3 months at 10hrs/wk
- foundations of neural network design and training in PyTorch
- learn to implement unsupervised learning methods for different kinds of problem domains
- Udacity Intro to Machine Learning with TensorFlow 3 months at 10hrs/wk
- learn about supervised learning, a common class of methods for model construction.
- learn the foundations of neural network design and training in TensorFlow.
- learn to implement unsupervised learning methods for different kinds of problem domains.
- Udacity AI for Healthcare need Python, machine learning; 4 months at 15hrs/wk
- Applying AI to 2D Medical Imaging Data
- Applying AI to 3D Medical Imaging Data
- Applying AI to EHR Data
- Applying AI to Wearable Device Data
it/ai_courses.txt · Last modified: 2023/03/24 07:26 by gary1