The Complete Healthcare Artificial Intelligence Course 2024
Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning and Deep Learning
3.97 (297 reviews)
2 260
students
29.5 hours
content
Mar 2025
last update
$64.99
regular price
What you will learn
Pandas.
Matplotlib.
Sigmoid activation function.
Tanh activation function.
ReLU activation function.
Leaky Relu activation function.
Exponential Linear Unit activation function.
Swish activation function.
Markov models.
Support Vector Machines
Other common classifiers
Import data from the UCI repository.
Convert text input to numerical data.
Build and train classification algorithms.
Compare and contrast classification machine learning.
Building the AI.
Machine learning and deep learning model based on the given data with high accuracy.
RF with Response Coding.
Maximum voting Classifier.
Stacking model.
Random Forest Classifier.
One-hot Encoding.
NLP (Natural Language Processing)
NLTK (Natural Language Toolkit)
Logistic Regression.
Naive Bayes
Response Encoding
Linear Support Vector Machines
Geolocation Features.
Handling Missing Data And Anomalies in Python.
Data standardization.
Temporal Features.
Seaborn
Deep Learning.
Keras.
Google Colab .
Anaconda.
Jupiter Notebook.
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Our Verdict
The Complete Healthcare Artificial Intelligence Course 2024 offers a comprehensive and up-to-date overview of AI applications in healthcare, led by expert instructors with practical industry experience. While some technical depth might be challenging for beginners without programming or data science backgrounds, the hands-on projects and case studies provide valuable insights into real-world AI implementation. The course could benefit from a more thorough exploration of specific AI tools, but overall it stands as a solid resource for healthcare professionals and AI enthusiasts alike.
What We Liked
- Broad Coverage: The course explores a wide range of AI applications in healthcare, from diagnostics and treatment planning to patient care.
- Expert Instructors: Knowledgeable instructors with practical experience in both AI and healthcare ensure accurate and applicable material.
- Hands-on Projects: Practical projects and case studies facilitate real-world application of AI in healthcare.
- Current Information: The course incorporates recent advancements and trends in AI for healthcare.
Potential Drawbacks
- Technical Depth: Some technical aspects might be challenging for those without data science or programming backgrounds.
- Limited Tool Coverage: Deeper exploration of specific AI tools could benefit learners seeking hands-on experience.
3811732
udemy ID
29/01/2021
course created date
10/02/2021
course indexed date
AhmedELKING
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